progress.json

{
  "current_paper_index": 6,
  "confirmed": false,
  "section": "基础路线图",
  "daily_summary": {
    "description": "Claude / Cursor 每日论文总结任务。当前并行两条推进轨：(A) 高影响力精选「五类」轮转（全身控制核心 → 遥操作与模仿学习 → Locomotion 经典 → Sim-to-Real & Foundation Model → 仿真平台与工具 → 回到全身控制核心），覆盖 papers/03_High_Impact_Selection/ 全部 5 个子类；(B) 模块轮转（04 → 05 → ... → 14 → 04）。两条轨各自独立挑选，已有完整笔记的论文自动跳过。",
    "high_impact_cycle": {
      "categories": [
        "全身控制核心",
        "遥操作与模仿学习",
        "Locomotion 经典",
        "Sim-to-Real & Foundation Model",
        "仿真平台与工具"
      ],
      "categories_history": {
        "before_2026-05-22": [
          "全身控制核心",
          "遥操作与模仿学习",
          "仿真平台与工具"
        ],
        "reason_for_change": "用户原始任务要求「在高影响力精选模块内循环」，应覆盖该模块全部 5 个子类；早期把「Locomotion 经典 / Sim-to-Real & Foundation Model」误标为另一路自动化责任、缩小到三类轮转，2026-05-22 更正为五类"
      },
      "last_category": "Locomotion 经典",
      "last_completed": "H16 ECO: Energy-Constrained Optimization with RL for Humanoid Walking (arXiv:2602.06445)",
      "last_completed_date": "2026-05-17",
      "next_category": "全身控制核心",
      "next_candidate": "高影响力精选 H1–H23（五类轮转）已于 2026-05-17 全部闭环。轨 A 暂无新的待写条目：请在 papers/PROGRESS.md「⭐ 高影响力精选」中补充新论文并同步目录，或明确下一批候选编号后再跑每日任务。总览见 papers/DAILY_SUMMARY_LOG.md"
    },
    "module_rotation": {
      "description": "每天按模块轮转：04(WBC) → 05(行走运动) → 06(灵巧操作) → 07(遥操作) → 08(导航) → 09(状态估计) → 10(Sim2Real) → 11(仿真/基准) → 12(硬件) → 13(物理动画) → 14(人体动作) → 回到 04",
      "order": [
        "04_Loco-Manipulation_and_WBC",
        "05_Locomotion",
        "06_Manipulation",
        "07_Teleoperation",
        "08_Navigation",
        "09_State_Estimation",
        "10_Sim-to-Real",
        "11_Simulation_Benchmark",
        "12_Hardware_Design",
        "13_Physics-Based_Animation",
        "14_Human_Motion"
      ],
      "last_module": "08_Navigation",
      "last_index": 595,
      "last_title": "TAPNAV: Humanoid Navigation through Tactile Active Perception (arXiv:2610.10748)",
      "next_module": "09_State_Estimation",
      "last_completed_date": "2026-10-11",
      "note": "本日轮转到 08_Navigation。_data/papers.json 中 Navigation 条目均已有笔记，上游 awesome-humanoid-robot-learning Navigation 章节中尚无笔记的最新论文是 TAPNAV (arXiv:2610.10748, 2026-10-07, Georgia Tech LIDAR / Ye Zhao 组)，新增为 PROGRESS #595。无视觉人形导航：G1 双手触觉末端主动探测，粒子滤波 SE(2) 信念 + 不确定度有界约束 A* + 期望信息增益(含无接触结果)选探测动作 + 上下身解耦 RL 全身控制；MuJoCo 四图平均 SR 95% vs Random-touch 77.5% / Sweep-touch 38.8% / Odometry-only 22.5%。代码 coming soon，仅含整体流程 mermaid。",
      "last_date": "2026-10-11",
      "next_candidate": null,
      "last_completed": "TAPNAV: Humanoid Navigation through Tactile Active Perception (arXiv:2610.10748)"
    },
    "last_summary_index": 532,
    "last_summary_date": "2026-09-18",
    "last_summary_title": "ReActor: Reinforcement Learning for Physics-Aware Motion Retargeting",
    "next_summary_index": null,
    "log": [
      {
        "date": "2026-09-13",
        "index": 588,
        "title": "World Translation: Minimizing Sim-to-Real Gap with Backward Dynamics Extraction and Unpaired Domain Translation",
        "folder": "papers/10_Sim-to-Real/World_Translation__Minimizing_Sim-to-Real_Gap_via_Backward_Dynamics_Extraction",
        "module": "10_Sim-to-Real",
        "arxiv": "2607.18154",
        "project_page": "",
        "code": "论文未给出公开的 GitHub 仓库 / 项目主页链接；截至笔记时无源码",
        "source": "⏳ 无公开源码(故无源码时序图)，仅据论文描述给出方法流程 · real-to-sim 路线：针对学习式动力学模型的部分可观难题，提出反向动力学提取(从已观测转移里反向读出隐藏动力学信息，绕开「从历史恢复隐藏因素」的假设)+非配对域翻译(在仿真域/真实域间迁移动力学特征，保留内容只换风格)；仿真器确定性与学习模型精确性互补 · 人形/四足/机械臂三类平台评测，隐藏因素越难从历史恢复增益越大 · Unitree Go2 真机部署改善策略迁移 · 浙江大学 · 逐际动力 LimX Dynamics · arXiv:2607.18154"
      },
      {
        "date": "2026-09-12",
        "index": 587,
        "title": "KILVO: Kinematic-Inertial-LiDAR-Visual Odometry with Robust Multimodal Adaptation for Humanoid Robots",
        "folder": "papers/09_State_Estimation/KILVO__Kinematic-Inertial-LiDAR-Visual_Odometry_for_Humanoid_Robots",
        "module": "09_State_Estimation",
        "arxiv": "2608.05647",
        "project_page": "https://github.com/JixinGao/KILVO",
        "code": "github.com/JixinGao/KILVO —— 已放出 15 段真机 rosbag 数据集，源码声明「code will be released soon」，截至笔记时未释出",
        "source": "⏳ 源码未释出(故无源码时序图)，仅据论文描述给出运行时序 · 面向人形的运动学-惯性-激光-视觉四模态紧耦合 ESIKF：异步-顺序混合更新(1kHz 运动学约束+接触估计 / 10Hz LiDAR+视觉顺序更新)；免额外传感器接触估计>95% 准确、FPR≈3.67%；多模态自适应 KI/KIL/LIV/KILV 无缝切换；LIKO ATE≈0.0151m、真机≈0.0145m、1kHz 输出、单帧 13.99ms · BHR-B3 / Unitree G1 · IEEE/ASME TMECH 2026"
      },
      {
        "date": "2026-09-11",
        "index": 586,
        "title": "TANGO: Humanoid Navigation in Cluttered Environments with a Whole-Body Vision-Language-Action Model",
        "folder": "papers/08_Navigation/TANGO__Whole-Body_Vision-Language_Navigation_in_Cluttered_Environments",
        "module": "08_Navigation",
        "arxiv": "2609.09158",
        "project_page": "https://tango-vla.github.io/",
        "code": "论文承诺开源(数据管线/数据集/VLA框架/权重/部署系统)，截至笔记时尚未释出",
        "source": "⏳ 代码未释出(故无源码时序图) · 首个杂乱环境人形全身 VLN 框架：语言指令 + 第一视角 RGB + 本体感知 → 29-DoF 关节角 + 6D 基座旋转，全身几何自适应避障；PET(Plan-Edit-Track) 仿真数据管线造 64,633 条无碰撞轨迹；System-2/1/0 分层 VLA(Qwen2.5VL-7B + 流匹配 MM-DiT + SONIC 跟踪器) 云-边协同；纯仿真训练零样本迁移 Unitree G1，真机杂乱 3D 10/15 成功、0.73 次碰撞/次 · CoRL 2026 · UC Berkeley/北大/清华/港大/普林斯顿"
      },
      {
        "date": "2026-08-19",
        "index": 572,
        "title": "Handroid: Bridging Dexterous Hand and Humanoid",
        "folder": "papers/12_Hardware_Design/Handroid__Bridging_Dexterous_Hand_and_Humanoid",
        "module": "12_Hardware_Design",
        "arxiv": "2607.16187",
        "project_page": "https://handroid.org",
        "code": "https://github.com/ruoguliii/handroid",
        "source": "🌟 开源(MIT，代码/文档标注 Coming Soon 尚未完整释出，CAD@OnShape + BOM 已开放) · github.com/ruoguliii/handroid · 项目页 handroid.org · 桌面尺度可重构双形态机器人：同一批机电模块在 20-DoF 灵巧手与 25-DoF 桌面人形间物理重装，整机 27-DoF/0.33m/2.05kg · 统一控制学习栈(VisionPro+AnyTeleop 遥操作 / Diffusion Policy 抓取 / PPO@IsaacLab 手内操作 / ZMP+Mink IK+速度RL+Viser 关键帧运动)，共享 MuJoCo 仿真 sim-to-real · 遥操作抓取 10 物体平均 72%、仿真身体跟踪误差 0.0019m、长程任务串联形态重构→脱离 Franka→避障→推箱→重对接→灵巧取放 · Ruogu Li、Shuran Song、C. Karen Liu、Mingyu Ding 等 · 模块轮转（11_Simulation_Benchmark → 12_Hardware_Design）"
      },
      {
        "date": "2026-08-15",
        "index": 569,
        "title": "NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration",
        "folder": "papers/08_Navigation/NoMaD__Goal_Masked_Diffusion_Policies_for_Navigation_and_Exploration",
        "module": "08_Navigation",
        "arxiv": "2310.07896",
        "project_page": "https://general-navigation-models.github.io/nomad/",
        "code": "https://github.com/robodhruv/visualnav-transformer",
        "source": "🌟 全链路开源 [robodhruv/visualnav-transformer](https://github.com/robodhruv/visualnav-transformer)（GNM/ViNT/NoMaD 统一训练+部署代码与预训练权重）· UC Berkeley · ICRA 2024 · 目标掩码统一定向导航与无目标探索、扩散策略生成多模态动作、时间距离头+拓扑图做长程导航 · 含源码运行时序图 · 模块轮转（07_Teleoperation → 08_Navigation）"
      },
      {
        "date": "2026-08-14",
        "index": 568,
        "title": "Teleopit: A Full-Embodiment Humanoid Teleoperation System",
        "folder": "papers/07_Teleoperation/Teleopit__A_Full-Embodiment_Humanoid_Teleoperation_System",
        "module": "07_Teleoperation",
        "arxiv": "2608.01834",
        "project_page": "https://botrunner64.github.io/teleopit-page",
        "code": "https://github.com/BotRunner64/Teleopit",
        "source": "🌟 全链路开源 5 仓库：[Teleopit](https://github.com/BotRunner64/Teleopit)(全身控制/mjlab+PPO) · [somehand](https://github.com/BotRunner64/somehand)(手部重定向) · [OpenNeck](https://github.com/BotRunner64/OpenNeck)(2-DoF 主动头) · [pico-bridge](https://github.com/BotRunner64/pico-bridge)(PICO 接口) · [lerobot-teleopit](https://github.com/BotRunner64/lerobot-teleopit)(模仿学习) · 西湖大学 · 单副 PICO 驱动身体+6 款灵巧手+主动视觉，历史编码+失败感知回退采样，mocap 91.7%/live PICO 100%，96 演示训 ACT/GR00T N1.7 达 90%/95% · 含源码运行时序图 · 模块轮转（06_Manipulation → 07_Teleoperation）"
      },
      {
        "date": "2026-08-13",
        "index": 567,
        "title": "RoboTacDex: A Dexterous Visual-Tactile-Action Dataset for Humanoid Manipulation",
        "folder": "papers/06_Manipulation/RoboTacDex__A_Dexterous_Visual-Tactile-Action_Dataset_for_Humanoid_Manipulation",
        "module": "06_Manipulation",
        "arxiv": "2606.31836",
        "project_page": "",
        "code": "",
        "source": "数据集声明「将很快开源」，截至当前未见公开仓库/项目页 · Xinyi Wang、Tao Chen 等 · IEEE RA-L · Unitree G1(双臂+双灵巧手)遥操作采集 6k 轨迹 / 19 任务 / 23 技能 / 22 物体，含多视角 RGB-D、指尖法向+切向接触力与自电容近距感知触觉、语义标注 · 软硬件毫秒级多相机同步(触觉/手关节 100Hz DDS→30Hz) · 4 配置(桌距 5/15cm × 白/绿网格) · ACT/DP/GR00T N1.5 基准，4 任务×10 平均成功率 3/3/6·10 · 模块轮转（05_Locomotion → 06_Manipulation）"
      },
      {
        "date": "2026-08-12",
        "index": 198,
        "title": "SKATER: Synthesized Kinematics for Advanced Traversing Efficiency on a Humanoid Robot via Roller Skate Swizzles",
        "folder": "papers/05_Locomotion/SKATER__Synthesized_Kinematics_for_Advanced_Traversing_Efficiency_via_Roller_Skate_Swizzles",
        "module": "05_Locomotion",
        "arxiv": "2601.04948",
        "project_page": "",
        "code": "",
        "source": "截至当前未见公开代码/项目页 · Junchi Gu、Shiwu Zhang 等 · 给 25-DoF 人形(38kg/140cm)每足装一排 4 个 62mm 被动轮，用深度 RL(PPO+IsaacLab 4096 并行+多阶段课程+域随机化)学「葫芦步 swizzle」连续滑行；22 项奖励不写死步态时序让节能滑行自发涌现，actor 用本体感知+4 帧历史、critic 拿真实线速度/踝间距/踝朝向特权信息 · 相比双足行走冲击强度 -75.86%(10231→2469 N/s)、CoT -63.34%、髋/踝 pitch 关节能耗 -95.39%/-92.29%，瓷砖/橡胶/碎石三类摩擦地面 100% 通行 · 模块轮转（04_Loco-Manipulation_and_WBC → 05_Locomotion）"
      },
      {
        "date": "2026-08-11",
        "index": 83,
        "title": "BFM-Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning",
        "folder": "papers/04_Loco-Manipulation_and_WBC/BFM-Zero__A_Promptable_Behavioral_Foundation_Model_for_Humanoid_Control",
        "module": "04_Loco-Manipulation_and_WBC",
        "arxiv": "2511.04131",
        "project_page": "https://lecar-lab.github.io/BFM-Zero/",
        "code": "https://github.com/LeCAR-Lab/BFM-Zero",
        "source": "🌟 LeCAR-Lab/BFM-Zero（预训练权重 + 部署代码，deploy 分支，CC BY-NC 4.0） · ICLR 2026 · CMU LeCAR Lab × Meta FAIR · 破解「一个任务训一套策略」：① 预训练不用任务奖励，用无监督 RL 的 Forward-Backward(前向 F(s,a,z)+后向 B(s))表征把动作/目标/奖励统一嵌进平滑可解释隐空间 z，任意奖励 Q_z=Fᵀz；② 训练一次得到可提示单策略 π(·|z)，切换 z 即零样本做动作追踪(z=ΣλⁿB(s))/目标到达(z=B(s_g))/奖励优化(z=ΣB(s)r(s))，并支持 few-shot 仿真搜索；③ 奖励塑形+域随机化+历史相关非对称 Actor-Critic 弥合无监督 RL 的 sim-to-real · Unitree G1 真机跳舞/拳击/行走、抗推拉踢鲁棒恢复且涌现跑步 · 模块轮转（14_Human_Motion → 04_Loco-Manipulation_and_WBC）"
      },
      {
        "date": "2026-07-30",
        "index": 563,
        "title": "ARDY: Autoregressive Diffusion with Hybrid Representation for Interactive Human Motion Generation",
        "folder": "papers/14_Human_Motion/ARDY__Autoregressive_Diffusion_with_Hybrid_Representation_for_Interactive_Human_Motion",
        "module": "14_Human_Motion",
        "arxiv": "2607.08741",
        "project_page": "https://research.nvidia.com/labs/sil/projects/ardy/",
        "code": "https://github.com/nv-tlabs/ardy",
        "source": "🌟 nv-tlabs/ardy（推理/交互 Demo/生成脚本+预训练权重，代码 Apache-2.0，模型 NVIDIA Open Model Agreement） · SIGGRAPH 2026 · NVIDIA × ETH Zürich · 弥合「离线可控但慢 vs 在线快但难控」：① 混合表征——显式根特征保精确轨迹/朝向控制 + 隐式身体嵌入保高效自然生成；② 两阶段自回归 Transformer 去噪器——可变历史上下文 + 条件于灵活长时程运动学约束(根路径/航点·全身关键帧·稀疏关节)，训练时从真值采样文本+约束使模型原生学会可控生成，支持在线文本切换与长时程目标；③ 4 步扩散把单段延迟压到 ~33ms 实现实时交互(鼠标/键盘/路径跟随/关键帧) · HumanML3D(FID+Top-3 R-precision) + 大规模商用 Bones Rigplay 动捕(150+ 人·统一 27 关节骨架)评测 · 模块轮转（13_Physics-Based_Animation → 14_Human_Motion）"
      },
      {
        "date": "2026-07-29",
        "index": 471,
        "title": "FARM: Frame-Accelerated Augmentation and Residual Mixture-of-Experts for Physics-Based High-Dynamic Humanoid Control",
        "folder": "papers/13_Physics-Based_Animation/FARM__Frame-Accelerated_Augmentation_and_Residual_MoE_for_High-Dynamic_Humanoid",
        "module": "13_Physics-Based_Animation",
        "arxiv": "2508.19926",
        "project_page": "https://github.com/Colin-Jing/FARM",
        "code": "https://github.com/Colin-Jing/FARM",
        "source": "🌟 Colin-Jing/FARM（含训练/评测代码，基于 ProtoMotions；数据因版权需另下） · AAAI 2026 Oral · HKUST(GZ) 等 · 攻高动态人形物理动作追踪：① 帧加速增广把动作 1.0–1.5× 重采样拉大帧间姿态间隔=零成本合成高速位姿突变+1.25× 跑基座 tracker 筛困难片段；② 冻结可靠基座控制器保低动态基本盘；③ 残差混合专家(SAR 速度感知路由分低/中/高三档分诊 + DEA 动态专家分配按强度激活 0~N 专家叠残差) · Isaac Lab + SMPL·PD 控制 · 自建 HDHM 数据集(~3593 段清洗过的高动态动作，取材 AIST++/EMDB/Motion-X 武术+文本/视频合成) · 相对基线失败率 −42.8%、全局 MPJPE −14.6%，低动态几乎无损 · 模块轮转（12_Hardware_Design → 13_Physics-Based_Animation）"
      },
      {
        "date": "2026-07-24",
        "index": 555,
        "title": "Humanoid-GPT: Scaling Data and Structure for Zero-Shot Motion Tracking",
        "folder": "papers/07_Teleoperation/Humanoid-GPT__Scaling_Data_and_Structure_for_Zero-Shot_Motion_Tracking",
        "module": "07_Teleoperation",
        "arxiv": "2606.03985",
        "project_page": "https://qizekun.github.io/Humanoid-GPT/",
        "code": "https://github.com/GalaxyGeneralRobotics/Humanoid-GPT",
        "source": "🌟 GalaxyGeneralRobotics/Humanoid-GPT（已放出推理/部署代码+预训练权重，训练码与2B语料暂未释出） · CVPR 2026 · 把动作跟踪当作类 GPT 序列建模：token=本体状态++参考姿态、历史32帧过12层因果注意力、自回归输出各关节 PD 目标；数据规模化=统一到 G1 29DoF 的20亿帧重定向语料(AMASS/LAFAN1/Motion-X++/PHUMA/MotionMillion+自采，滤除物体交互，时间弯曲增广~5×)；结构规模化=HME 谐波聚类~300簇多样性均衡→PPO 训~384个专家→DAgger 蒸馏成单一通才；打破敏捷 vs 泛化取舍，仿真成功率92.58%(vs 88.27%)、MPKPE 40.99mm，实机 Unitree-G1 零样本跟未见舞蹈，ONNX→TensorRT<1.5ms·50Hz，可作在线 MoCap 重定向遥操作底座 · 模块轮转（06_Manipulation → 07_Teleoperation）"
      },
      {
        "date": "2026-07-23",
        "index": 287,
        "title": "ActiveUMI: Robotic Manipulation with Active Perception from Robot-Free Human Demonstrations",
        "folder": "papers/06_Manipulation/ActiveUMI__Robotic_Manipulation_with_Active_Perception_from_Robot-Free_Human_Demonstrations",
        "module": "06_Manipulation",
        "arxiv": "2510.01607",
        "project_page": "https://activeumi.github.io/",
        "source": "论文未见公开代码（有项目页 activeumi.github.io） · 上海大学 × 美的 Midea × Stanford · 便携 VR 遥操作套件 + 镜像机器人末端的传感手柄，用精确位姿对齐 + 高效标定打通人-机器人运动学、免真实机器人野外采数据；核心用头显记录操作者「有意的头部转动」学「视觉注意力 ↔ 操作」关联、执行时主动调整视线；沉浸式 3D 渲染 + 可穿戴计算机保移动性/数据质量；仅 ActiveUMI 数据训练在 6 双臂任务分布内 70%、新物体/新环境 56% · UMI 主动感知进化 · 模块轮转（05_Locomotion → 06_Manipulation）"
      },
      {
        "date": "2026-07-22",
        "index": 559,
        "title": "HumoSlope: Physics-Guided Biomechanical Gait Adaptation for Humanoid Locomotion on Extreme Sloped Terrains",
        "folder": "papers/05_Locomotion/HumoSlope__Physics-Guided_Biomechanical_Gait_Adaptation_on_Extreme_Sloped_Terrains",
        "module": "05_Locomotion",
        "arxiv": "2607.07830",
        "project_page": "",
        "source": "论文未见公开代码/项目页 · NTU × A*STAR · 两阶段 PPO：阶段 I 贴合局部斜面的 ZMP 正则(比力射线∩支撑平面, r=exp(-d_zmp/σ))立斜坡平衡先验；阶段 II 生物力学坡地步态适配器 BSGA 用 5 维坡度描述子门控软奖励(质心高度 h·cos|θ|+坡度偏置缓解 Groucho 蹲走 · 上坡髋推进/下坡膝制动 · 摆动腿髋pitch参考) · actor 仅本体感知(部署零外感)、critic 特权观测(真实线速度+49点高程+PCA描述子) · 域随机化零样本上真机 · 仿真 30° 成功率 77.1%(URL/FastTD3/Gallant 均 0%)、真机 Unitree G1 盲走草坡 32.1°(62.7%坡度)并泛化湿滑/波浪/平地 · 消融去 ZMP→55.6%、去 BSGA→0% · 模块轮转（04_Loco-Manipulation_and_WBC → 05_Locomotion）"
      },
      {
        "date": "2026-07-21",
        "index": 558,
        "title": "CWI: Composite Humanoid Whole-Body Imitation System for Loco-manipulation",
        "folder": "papers/04_Loco-Manipulation_and_WBC/CWI__Composite_Humanoid_Whole-Body_Imitation_System_for_Loco-manipulation",
        "module": "04_Loco-Manipulation_and_WBC",
        "arxiv": "2606.27676",
        "project_page": "https://cwi-ral.github.io/CWI-RAL-Webpage",
        "source": "论文未见开源代码(有项目页) · RAL 2026 · 按「目标」而非「架构」解耦：上半身用完整未过滤 AMASS 精确跟踪、下半身用每类~10 条专家片段 + 双判别器 AMP(走/蹲动态切换) 学步态风格 · 多 critic 分组 GAE 化解「跟踪 vs 风格」冲突 · 师生蒸馏压成只需「双手关键点18D+速度2D+高度1D+头部2D=23D」的可部署学生(去蒸馏末端误差 42.91→173.2mm) · 成功率~99.9%·速度误差 0.100m/s·末端 42.91mm 领先 HOVER/FALCON/HOMIE · VR 头显+手柄遥操作 · LimX Oli 全尺寸人形 1.65m/50kg/31DoF · 举箱腰部自发协调 · 模块轮转（14_Human_Motion → 04_Loco-Manipulation_and_WBC）"
      },
      {
        "date": "2026-07-20",
        "index": 493,
        "title": "OmniControl: Control Any Joint at Any Time for Human Motion Generation",
        "folder": "papers/14_Human_Motion/OmniControl__Control_Any_Joint_at_Any_Time_for_Human_Motion_Generation",
        "module": "14_Human_Motion",
        "category": "14_Human_Motion",
        "note_path": "papers/14_Human_Motion/OmniControl__Control_Any_Joint_at_Any_Time_for_Human_Motion_Generation/OmniControl__Control_Any_Joint_at_Any_Time_for_Human_Motion_Generation.md",
        "track": "module_rotation",
        "arxiv": "2310.08580",
        "source": "Yiming Xie, Varun Jampani, Lei Zhong, Deqing Sun, Huaizu Jiang (Northeastern University · Google Research · Stability AI) · ICLR 2024 · 单模型支持任意关节任意时刻的灵活空间控制：空间引导(解析梯度紧贴控制信号) + 真实性引导(全身关节协调修正) 互补 · HumanML3D/KIT-ML 骨盆控制超 SOTA 并支持头/手/脚多关节约束 · 代码 neu-vi/OmniControl"
      },
      {
        "date": "2026-07-19",
        "index": "—",
        "title": "BFMTrack: Latent Sequence Optimization for Physics-Based Motion Tracking with Behavioral Foundation Models",
        "folder": "papers/13_Physics-Based_Animation/BFMTrack__Latent_Sequence_Optimization_for_Physics-Based_Motion_Tracking",
        "module": "13_Physics-Based_Animation",
        "category": "13_Physics-Based_Animation",
        "note_path": "papers/13_Physics-Based_Animation/BFMTrack__Latent_Sequence_Optimization_for_Physics-Based_Motion_Tracking/BFMTrack__Latent_Sequence_Optimization_for_Physics-Based_Motion_Tracking.md",
        "track": "module_rotation",
        "arxiv": "2606.25056",
        "source": "Disney Research 苏黎世(Thomas Rupf, Agon Serifi, Ruben Grandia, Espen Knoop, Moritz Bächer 等) · 冻结行为基础模型(FB-CPR)、只在潜空间优化一条随时间变化的潜序列 {z_t} 做物理动作追踪、无需奖励工程 · 潜空间序列优化 LSO：backward map B 提供初始化 μ_t=B(g_t) 与余弦相似度追踪奖励，REINFORCE+leave-one-out 基线策略梯度在 Isaac Sim 滚动更新 · 关键把逐帧白噪声换成时间相关有色噪声(PSD∝1/f^β，pink noise β=1 精度-平滑最优)保证序列平滑 · 三场景:稠密追踪 990 段 AMASS(SMPL 69DoF/Lima 20DoF)、稀疏关键帧(DoG 显著性抽帧+SLERP 插值+零中间奖励)、Lima 双足真机跑/跳舞/摔倒恢复 sim-to-real · 稠密 MPJPE 3.4cm vs 滑动窗基线 4.7cm · 局限:离线优化(RTX5090 数分钟)非实时、FB-CPR 依赖大动作库 · 截至写入未见公开代码/项目页 · 模块轮转（13_Physics-Based_Animation → 14_Human_Motion）"
      },
      {
        "date": "2026-07-18",
        "index": "—",
        "title": "MCR-Bionic Hand: Anatomical Structural Priors for Dexterous Manipulation",
        "folder": "papers/12_Hardware_Design/MCR-Bionic_Hand__Anatomical_Structural_Priors_for_Dexterous_Manipulation",
        "module": "12_Hardware_Design",
        "category": "12_Hardware_Design",
        "note_path": "papers/12_Hardware_Design/MCR-Bionic_Hand__Anatomical_Structural_Priors_for_Dexterous_Manipulation/MCR-Bionic_Hand__Anatomical_Structural_Priors_for_Dexterous_Manipulation.md",
        "track": "module_rotation",
        "arxiv": "2606.13601",
        "source": "University of Salford(Haosen Yang, Guowu Wei) · 解剖学结构先验仿生手：主张灵巧不只来自控制、也来自手的物理结构 · 两种结构智能——结构先验生成(腕-指腱固定/FDS-FDP腱路由/背侧伸肌腱帽把低维输入映射成默认抓握)+肌肉调制(外在肌/蚓状肌/骨间肌精调MCP姿态、指尖力、接触稳定) · 解剖级样机:23骨/两排八腕骨/61腕韧带/>103软组织/46肌肉单元/简化24-DOF(完整>45)/指尖~20N · 闭环液压人工肌手内局部驱动、无外部传感 · 演示转硬币/背翻硬币/传笔/转笔/魔方等接触密集手内操作 · 强调解剖仿生价值在于找出真正承担部分控制的结构而非外观相似"
      },
      {
        "date": "2026-07-17",
        "index": "—",
        "title": "ThorArena: Benchmarking Humanoid Physical Interaction with Human Motion-Force Demonstrations",
        "folder": "papers/11_Simulation_Benchmark/ThorArena__Benchmarking_Humanoid_Physical_Interaction_with_Motion-Force_Demonstrations",
        "module": "11_Simulation_Benchmark",
        "category": "11_Simulation_Benchmark",
        "note_path": "papers/11_Simulation_Benchmark/ThorArena__Benchmarking_Humanoid_Physical_Interaction_with_Motion-Force_Demonstrations/ThorArena__Benchmarking_Humanoid_Physical_Interaction_with_Motion-Force_Demonstrations.md",
        "track": "module_rotation",
        "arxiv": "2607.06052",
        "source": "BAAI×TU Munich(Alois Knoll 组) · 力感知人形交互基准：现有人形运动数据集只记运动学、漏掉同步交互力，「无力评测」看不出策略在推拉搬举等接触密集任务下的力致失稳 · 采集运动+双手力同步真人示范(PICO 4 Ultra 头显+体感追踪器测运动、双手力传感器配 3D 打印挂钩测力，6 任务×60=360 段) · 6 类任务(擦桌/放下/抬起/拉椅/推椅/协同搬运) · 力感知指标 FATS=100·exp(−E/σ)·s(σ=0.15m，耦合跟踪误差与回合存活)+鲁棒比 ρ=E_low/E_high+功率开销 η=P_high/P_low · 统一「仿真回放录制交互力」协议给标准评测接口 · 在 Thor2/TWIST2/GMT/SONIC 上评测：无力时相近、加真实力后差距显著暴露、Thor2 最鲁棒 · 截至当前未见公开代码/项目页 · 模块轮转（10_Sim-to-Real → 11_Simulation_Benchmark）"
      },
      {
        "date": "2026-07-16",
        "index": "—",
        "title": "FADA: Few-Shot Domain Adaptation via Dynamics Alignment for Humanoid Control",
        "folder": "papers/10_Sim-to-Real/FADA__Few-Shot_Domain_Adaptation_via_Dynamics_Alignment_for_Humanoid_Control",
        "module": "10_Sim-to-Real",
        "arxiv": "2606.28476",
        "source": "CMU LeCAR Lab(Guanya Shi 等) · Unitree G1(29DoF)/Booster T1(23DoF) · 少样本域自适应：把策略因式分解为 Planner(预测未来 K 步本体感知轨迹)+IDM(逆动力学把未来翻成动作)，洞察域偏移主要落执行层，故部署到新域冻结 Planner、只用约 2 分钟目标域 rollout「观测-动作」配对监督微调 IDM，免最优演示/免重训 · 三阶段：特权 oracle→DAgger 蒸馏出只用本体感知的 Planner-IDM 学生→目标域少样本对齐 · 域偏移含负载(1-6kg 非对称)/地形(斜坡·软垫·沙)/执行器(PD·力矩噪声·延迟)/仿真器(IsaacSim→MuJoCo·真机) · G1 斜坡 80%(零样本 20%)、T1 拉篮 100%、行走+负载误差-27.4%、sim2sim-24.7% · 暂未开源(项目页 lecar-lab.github.io/FADA-humanoid) · 模块轮转（09_State_Estimation → 10_Sim-to-Real）"
      },
      {
        "date": "2026-07-15",
        "index": 285,
        "title": "Proprioceptive Invariant State Estimation for Humanoid Robots on Non-Inertial Ground",
        "folder": "papers/09_State_Estimation/Proprioceptive_Invariant_State_Estimation_for_Humanoid_Robots_on_Non-Inertial_Ground",
        "module": "09_State_Estimation",
        "arxiv": "2606.19512",
        "source": "Agility Digit 人形 · 非惯性(运动)地面上纯本体感知状态估计：不给地面装任何外部传感器，靠足底 IMU + 支撑足零滑移反推地面加速度/角速度当作 InEKF 已知输入，估机身相对运动地面的位置与速度；过程模型含地面诱导非线性、测量模型保持右不变(式11)→误差动态与轨迹解耦、大初始误差快速收敛；可观性分析(机身速度始终可观、位置随地面旋转轴部分→全可观、姿态靠3个非共线躯干IMU恢复) · Motek M-Gait 摇摆(4cm/5-6s)+俯仰(4°/6-8s) · 收敛+96%、位置误差-80%、旋转地面行走<9cm(初始误差1m)、<3ms/周期 · 作者 Falak Mandali/Zijian He/Yan Gu · 截至当前未见公开代码 · 模块轮转（08_Navigation → 09_State_Estimation）"
      },
      {
        "date": "2026-07-14",
        "index": 284,
        "title": "DA-Nav: Direction-Aware City-Scale Vision-Language Navigation",
        "folder": "papers/08_Navigation/DA-Nav__Direction-Aware_City-Scale_Vision-Language_Navigation",
        "module": "08_Navigation",
        "arxiv": "2607.11638",
        "source": "四足/人形零样本 · 城市级户外视觉-语言导航：直接用商用导航工具(Google Maps)的方向提示(FWD/LEFT/RIGHT/STOP)当稀疏监督，把导航重述为第一视角图像平面上的离散网格定位；三步 CoT 推理(状态评估→动作预测→目标网格)+ ReDA 数据集(158k 专家帧+128k 恢复帧、主动扰动注入 OOD)+ 三态 FSM(Stable/Drifting/Recovering)对抗长程漂移 · 骨干 Qwen2.5-VL-7B+LoRA · CARLA 56.16% 成功率/SPL 58.66/纠偏 98.15%(ViNT 23.54%)、真机 46.7%(ViNT 16.7%) · 截至当前未见公开代码/数据 · 模块轮转（07_Teleoperation → 08_Navigation）"
      },
      {
        "date": "2026-07-13",
        "index": 283,
        "title": "HEFT: Heavy-Payload Full-size Humanoid Teleoperation with Privileged Motion Guidance and Windowed Payload Curriculum",
        "folder": "papers/07_Teleoperation/HEFT__Heavy-Payload_Full-size_Humanoid_Teleoperation_with_Privileged_Motion_Guidance",
        "module": "07_Teleoperation",
        "arxiv": "2607.02332",
        "source": "175cm/65kg 全尺寸人形 L7 · 重载遥操作：PMG 特权动作引导（非对称 actor-critic，actor 看带噪 VR、critic/奖励用 RoHM 重建的干净参考）抗追踪器噪声；WPC 窗口化负载课程（5s 窗口由专家标负载上限、按进度渐进加载）实现分段自适应重载 · teacher-student + adapter 蒸馏、PPO · VR 根误差 0.544m(TWIST2 0.99m)、25kg 90%/30kg 75% 成功率(TWIST2+FC 35%/29%) · 真机 24kg 壶铃行走下蹲/10kg 非对称搬运 · 截至当前未见公开代码 · 模块轮转（06_Manipulation → 07_Teleoperation）"
      },
      {
        "date": "2026-07-12",
        "index": 282,
        "title": "RGMP: Recurrent Geometric-prior Multimodal Policy for Generalizable Humanoid Robot Manipulation",
        "folder": "papers/06_Manipulation/RGMP__Recurrent_Geometric-prior_Multimodal_Policy_for_Generalizable_Humanoid_Manipulation",
        "module": "06_Manipulation",
        "arxiv": "2511.09141",
        "source": "🌟 xtli12/RGMP · 两段式可泛化人形操作：上层几何先验技能选择器(GSS)给 Qwen-VL 挂低秩几何适配器 + YOLOv8n-seg 抽物体几何 + 20 条规则从技能库选参数化技能(区分抓 vs 捏)；下层自适应递归高斯网络(ARGN)——递归空间建模逐 patch 建全局空间记忆 + 自适应衰减 ADM 防记忆消失/放大关键 patch + 6 高斯 GMM 拟合 6-DoF 多簇动作 + RoPE 方向编码 · 仅 40 条演示达 0.98、未见物体平均 87%(Diffusion Policy 0.70)、省 5× 数据 · 人形上肢 + 桌面双臂 + ManiSkill2 · 武汉大学 · AAAI 2026 · 模块轮转（05_Locomotion → 06_Manipulation）"
      },
      {
        "date": "2026-07-11",
        "index": 557,
        "title": "TACT-ful: Multi-Channel Terrain Affordance and Compliance Training for Payload-Robust Perceptive Humanoid Locomotion",
        "folder": "papers/05_Locomotion/TACT-ful__Multi-Channel_Terrain_Affordance_and_Compliance_for_Payload-Robust_Locomotion",
        "module": "05_Locomotion",
        "arxiv": "2606.20645",
        "source": "🌟 项目页 fai-rl-tech.github.io/tact-locomotion · 四通道地形代价(平整/陡峭/速度感知高度可行性/前进爬升)联动 GPU 并行 DCM 落脚规划器与密集可供性奖励 · 贝塞尔摆动 + 切线导向落脚朝向跨台阶 · 虚拟力矩注入训下肢隐式阻抗、无力传感器扛 ~15kg 负载 · 非对称 PPO 单次端到端(无师生蒸馏) + 域随机化零样本上真机 · 台阶阶高 0.20m 达 1.0m/s、标准地形成功率 70%(↑17pt) · VinRobotics×VinUniversity×TU Darmstadt · 模块轮转（04_Loco-Manipulation_and_WBC → 05_Locomotion）"
      },
      {
        "date": "2026-07-10",
        "index": 556,
        "title": "Athena-WBC: Capability-Aligned Policy Experts for Long-Tail Humanoid Whole-Body Control",
        "folder": "papers/04_Loco-Manipulation_and_WBC/Athena-WBC__Capability-Aligned_Policy_Experts_for_Long-Tail_Humanoid_Whole-Body_Control",
        "module": "04_Loco-Manipulation_and_WBC",
        "arxiv": "2607.04837",
        "source": "论文未公开代码/项目页 · 诊断「训练集内长尾失败」源自能力瓶颈(保守奖励正则压制激进可行动作 + 名义重力下平衡片段拿不到早期信号) · 动态专家(去力矩/时序惩罚 + Grad-CAPS 平滑, 抖动 0.063→0.007)与平衡专家(重力续延课程 α·g₀→g₀) 分而治之 · 多教师按动作路由 + DAgger 蒸馏进单一学生 + critic 预热 PPO 精修 · AMASS 98.18%→99.26% / Omni 91.81%→94.89% / 平衡子集 94.73% · 全尺寸 XPENG 人形 80kg · 模块轮转（14_Human_Motion → 04_Loco-Manipulation_and_WBC）"
      },
      {
        "date": "2026-07-03",
        "index": "—",
        "title": "GuideWalk: Learning Unified Autonomous Navigation and Locomotion for Humanoid Robots across Versatile Terrains",
        "folder": "papers/08_Navigation/GuideWalk__Learning_Unified_Autonomous_Navigation_and_Locomotion_for_Humanoid",
        "module": "08_Navigation",
        "arxiv": "2606.10449",
        "source": "未见公开代码 · 项目页 guide-walk.github.io/GuideWalk · HIT + 乐聚机器人 Leju · Kuavo 28-DoF · 模块轮转（07_Teleoperation → 08_Navigation）"
      },
      {
        "date": "2026-06-30",
        "index": 197,
        "title": "Walk the PLANC: Physics-Guided RL for Agile Humanoid Locomotion on Constrained Footholds",
        "folder": "papers/05_Locomotion/Walk_the_PLANC__Physics-Guided_RL_for_Agile_Humanoid_Locomotion_on_Constrained_Footholds",
        "module": "05_Locomotion",
        "arxiv": "2601.06286",
        "source": "匿名仓库 anonymous.4open.science/r/robot_rl-E4FF（待正式开源）· 项目页 caltech-amber.github.io/planc · Unitree G1 21-DoF 真机 · 模块轮转（04_Loco-Manipulation_and_WBC → 05_Locomotion）"
      },
      {
        "date": "2026-06-29",
        "index": 64,
        "title": "PvP: Data-Efficient Humanoid Robot Learning with Proprioceptive-Privileged Contrastive Representations",
        "folder": "papers/04_Loco-Manipulation_and_WBC/PvP__Data-Efficient_Humanoid_Robot_Learning_with_Proprioceptive-Privileged_Contrastive",
        "module": "04_Loco-Manipulation_and_WBC",
        "arxiv": "2512.13093",
        "source": "宣称开源 SRL4Humanoid（未见公开仓库链接）· LimX Oli 31-DoF 真机 · 模块轮转（14_Human_Motion → 04_Loco-Manipulation_and_WBC）"
      },
      {
        "date": "2026-06-28",
        "index": 485,
        "title": "GENMO: A Generalist Model for Human Motion",
        "folder": "papers/14_Human_Motion/GENMO__A_Generalist_Model_for_Human_Motion",
        "module": "14_Human_Motion",
        "arxiv": "2505.01425",
        "source": "未见公开训练代码 · 项目页 research.nvidia.com/labs/dair/genmo · NVIDIA DAIR · 模块轮转（13_Physics-Based_Animation → 14_Human_Motion）"
      },
      {
        "date": "2026-06-27",
        "index": "—",
        "title": "InterPrior: Scaling Generative Control for Physics-Based Human-Object Interactions",
        "folder": "papers/13_Physics-Based_Animation/InterPrior__Scaling_Generative_Control_for_Physics-Based_Human-Object_Inter",
        "module": "13_Physics-Based_Animation",
        "arxiv": "2602.06035",
        "source": "未见官方代码 · 项目页 sirui-xu.github.io/InterPrior · UIUC + Amazon · 模块轮转（12_Hardware_Design → 13_Physics-Based_Animation）"
      },
      {
        "date": "2026-06-26",
        "index": "—",
        "title": "DecARt Leg: Novel Humanoid Robot Leg with Decoupled Actuation",
        "folder": "papers/12_Hardware_Design/DecARt_Leg_Novel_Humanoid_Robot_Leg_with_Decoupled_Actuation",
        "module": "12_Hardware_Design",
        "arxiv": "2511.10021",
        "source": "未见官方代码 · FAST 敏捷度评测 · MIPT · 模块轮转（11_Simulation_Benchmark → 12_Hardware_Design）"
      },
      {
        "date": "2026-06-25",
        "index": 374,
        "title": "The Invariant Extended Kalman Filter as a Stable Observer",
        "folder": "papers/09_State_Estimation/The_Invariant_Extended_Kalman_Filter_as_a_Stable_Observer",
        "module": "09_State_Estimation",
        "arxiv": "1410.1465",
        "source": "理论论文无配套代码 · 工程实现参考 RossHartley/invariant-ekf · IEEE TAC 2017"
      },
      {
        "date": "2026-06-24",
        "index": 356,
        "title": "INTENTION: Inferring Tendencies of Humanoid Robot Motion Through Interactive Intuition and Grounded VLM",
        "folder": "papers/08_Navigation/INTENTION__Inferring_Tendencies_of_Humanoid_Robot_Motion_Through_Interactive_Int",
        "module": "08_Navigation",
        "arxiv": "2508.04931",
        "source": "未见公开仓库/项目页 · IIT (Tsagarakis 团队) · IEEE Humanoids"
      },
      {
        "date": "2026-06-23",
        "index": 336,
        "title": "LapSurgie: Humanoid Robots Performing Surgery via Teleoperated Handheld Laparoscopy",
        "folder": "papers/07_Teleoperation/LapSurgie__Humanoid_Robots_Performing_Surgery_via_Teleoperated_Handheld_Laparoscopy",
        "module": "07_Teleoperation",
        "arxiv": "2510.03529",
        "source": "未见公开仓库 · UCSD ARCLAB 项目页"
      },
      {
        "date": "2026-06-22",
        "index": 279,
        "title": "SafeHumanoid: VLM-RAG-driven Control of Upper Body Impedance for Humanoid Robot",
        "folder": "papers/06_Manipulation/SafeHumanoid__VLM-RAG-driven_Control_of_Upper_Body_Impedance",
        "module": "06_Manipulation",
        "arxiv": "2511.23300",
        "source": "论文未公开代码/项目页（Skoltech ISR Lab）"
      },
      {
        "date": "2026-06-21",
        "index": 196,
        "title": "FastStair: Learning to Run Up Stairs with Humanoid Robots",
        "folder": "papers/05_Locomotion/FastStair__Learning_to_Run_Up_Stairs_with_Humanoid_Robots",
        "module": "05_Locomotion",
        "arxiv": "2601.10365",
        "source": "npcliu.github.io/FastStair · youtu.be/SoLBK7VEGDo"
      },
      {
        "date": "2026-06-20",
        "index": 482,
        "title": "Efficient and Scalable Monocular Human-Object Interaction Motion Reconstruction",
        "folder": "papers/14_Human_Motion/Efficient_and_Scalable_Monocular_Human-Object_Interaction_Motion_Reconstruction",
        "module": "14_Human_Motion",
        "arxiv": "2512.00960",
        "source": "wenboran2002/open4dhoi_code · wenboran2002.github.io/open4dhoi"
      },
      {
        "date": "2026-06-19",
        "index": 550,
        "title": "OMG: Omni-Modal Motion Generation for Generalist Humanoid Control",
        "folder": "papers/13_Physics-Based_Animation/OMG__Omni-Modal_Motion_Generation_for_Generalist_Humanoid_Control",
        "module": "13_Physics-Based_Animation",
        "arxiv": "2606.10340",
        "source": "Tsinghua-MARS-Lab/OMG · tsinghua-mars-lab.github.io/OMG"
      },
      {
        "date": "2026-06-18",
        "index": 549,
        "title": "DexLink Hand: A Compact, Affordable, 16-DOF Linkage-Driven Hand with Human-Like Dexterity",
        "folder": "papers/12_Hardware_Design/DexLink_Hand__Compact_Affordable_16-DOF_Linkage-Driven_Hand",
        "module": "12_Hardware_Design",
        "arxiv": "2606.17418",
        "source": "论文未公开代码/CAD/项目页（机构正用于商业化灵巧手平台）"
      },
      {
        "date": "2026-06-17",
        "index": 548,
        "title": "Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids",
        "folder": "papers/10_Sim-to-Real/Robot_Trains_Robot_Automatic_Real-World_Policy_Adaptation_and_Learning",
        "module": "10_Sim-to-Real",
        "arxiv": "2508.12252",
        "source": "hukz18/Robot-Trains-Robot · robot-trains-robot.github.io"
      },
      {
        "date": "2026-06-17",
        "index": 547,
        "title": "Four Simple Proprioceptive Estimators for Legged Robots",
        "folder": "papers/09_State_Estimation/Four_Simple_Proprioceptive_Estimators_for_Legged_Robots",
        "module": "09_State_Estimation",
        "arxiv": "2605.23100",
        "source": "borglab/gtsam (LeggedEstimatorReplayExample.cpp) · ChiyunNoh/GTSAM-Legged-Estimator-ROS2"
      },
      {
        "date": "2026-06-17",
        "index": 546,
        "title": "X2-N: A Transformable Wheel-legged Humanoid Robot with Dual-mode Locomotion and Manipulation",
        "folder": "papers/12_Hardware_Design/X2-N__Transformable_Wheel-legged_Humanoid_Robot_with_Dual-mode_Locomotion_and_Manipulation",
        "module": "12_Hardware_Design",
        "arxiv": "2604.21541",
        "source": "论文未公开代码/项目页"
      },
      {
        "date": "2026-06-17",
        "index": 545,
        "title": "Humanoid Everyday: A Comprehensive Robotic Dataset for Open-World Humanoid Manipulation",
        "folder": "papers/11_Simulation_Benchmark/Humanoid_Everyday__Comprehensive_Robotic_Dataset_for_Open-World_Humanoid_Manipulation",
        "module": "11_Simulation_Benchmark",
        "arxiv": "2510.08807",
        "source": "physical-superintelligence-lab/Humanoid-Everyday · HF USC-GVL/humanoid-everyday"
      },
      {
        "date": "2026-06-17",
        "index": 544,
        "title": "Sim-to-Real of Humanoid Locomotion Policies via Joint Torque Space Perturbation Injection",
        "folder": "papers/10_Sim-to-Real/Sim-to-Real_Humanoid_Locomotion_via_Joint_Torque_Space_Perturbation_Injection",
        "module": "10_Sim-to-Real",
        "arxiv": "2504.06585",
        "source": "论文未公开代码"
      },
      {
        "date": "2026-06-17",
        "index": 543,
        "title": "Learning Contact Representation for Leg Odometry",
        "folder": "papers/09_State_Estimation/Learning_Contact_Representation_for_Leg_Odometry",
        "module": "09_State_Estimation",
        "source": "https://github.com/srge-erau/learning_contact_representation"
      },
      {
        "date": "2026-06-17",
        "index": 365,
        "title": "Gallant: Voxel Grid-based Humanoid Locomotion and Local-navigation across 3D Constrained Terrains",
        "folder": "papers/08_Navigation/Gallant__Voxel_Grid-based_Humanoid_Locomotion_and_Local-navigation_across_3D_Constrained_Terrains",
        "module": "08_Navigation",
        "source": "https://github.com/InternRobotics/Gallant"
      },
      {
        "date": "2026-06-16",
        "index": 335,
        "title": "Stability-Aware Retargeting for Humanoid Multi-Contact Teleoperation",
        "folder": "papers/07_Teleoperation/Stability-Aware_Retargeting_for_Humanoid_Multi-Contact_Teleoperation",
        "module": "07_Teleoperation",
        "source": "截至当前未见公开仓库（论文未给出 GitHub 链接）；IEEE Xplore document/11204000；arXiv 2510.04353"
      },
      {
        "date": "2026-06-15",
        "index": 277,
        "title": "Genie Sim 3.0: A High-Fidelity Comprehensive Simulation Platform for Humanoid Robot",
        "folder": "papers/06_Manipulation/Genie_Sim_3.0__A_High-Fidelity_Comprehensive_Simulation_Platform_for_Humanoid_Robot",
        "module": "06_Manipulation",
        "source": "https://github.com/AgibotTech/genie_sim"
      },
      {
        "date": "2026-06-15",
        "index": 194,
        "title": "CMR: Contractive Mapping Embeddings for Robust Humanoid Locomotion on Unstructured Terrains",
        "folder": "papers/05_Locomotion/CMR__Contractive_Mapping_Embeddings_for_Robust_Humanoid_Locomotion",
        "module": "05_Locomotion",
        "source": "截至当前未见公开仓库（论文未给出 GitHub 链接）"
      },
      {
        "date": "2026-06-14",
        "index": 534,
        "title": "SplitAdapter: Load-Aware Humanoid Loco-Manipulation via Factorized Adaptation",
        "folder": "papers/04_Loco-Manipulation_and_WBC/SplitAdapter__Load-Aware_Humanoid_Loco-Manipulation_via_Factorized_Adaptation",
        "module": "04_Loco-Manipulation_and_WBC",
        "source": "暂未释出（项目页 splitadapter.github.io 留有 Code 占位入口）"
      },
      {
        "date": "2026-06-12",
        "index": 541,
        "title": "Physics-Based Motion Tracking of Contact-Rich Interacting Characters",
        "folder": "papers/13_Physics-Based_Animation/Physics-Based_Motion_Tracking_of_Contact-Rich_Interacting_Characters",
        "module": "13_Physics-Based_Animation",
        "source": "截至当前未见公开仓库（论文/项目页未给出 GitHub 链接）"
      },
      {
        "date": "2026-06-17",
        "index": 355,
        "title": "LookOut: Real-World Humanoid Egocentric Navigation",
        "folder": "papers/08_Navigation/LookOut__Real-World_Humanoid_Egocentric_Navigation",
        "module": "08_Navigation",
        "source": "https://sites.google.com/stanford.edu/lookout"
      },
      {
        "date": "2026-06-16",
        "index": 334,
        "title": "Development of an Intuitive GUI for Non-Expert Teleoperation of Humanoid Robots",
        "folder": "papers/07_Teleoperation/Intuitive_GUI_for_Non-Expert_Teleoperation_of_Humanoid_Robots",
        "module": "07_Teleoperation",
        "source": "截至当前未见公开仓库（论文未给出 GitHub 链接）"
      },
      {
        "date": "2026-06-15",
        "index": 276,
        "title": "DexterCap: An Affordable and Automated System for Capturing Dexterous Hand-Object Manipulation",
        "folder": "papers/06_Manipulation/DexterCap__An_Affordable_and_Automated_System_for_Capturing_Dexterous_Hand-Object"
      },
      {
        "date": "2026-06-14",
        "index": 193,
        "title": "HoRD: Robust Humanoid Control via History-Conditioned Reinforcement Learning and Online Distillation",
        "folder": "papers/05_Locomotion/HoRD__Robust_Humanoid_Control_via_History-Conditioned_RL_and_Online_Distillation"
      },
      {
        "date": "2026-06-13",
        "index": 54,
        "title": "Collision-Free Humanoid Traversal in Cluttered Indoor Scenes",
        "folder": "papers/04_Loco-Manipulation_and_WBC/Collision-Free_Humanoid_Traversal_in_Cluttered_Indoor_Scenes"
      },
      {
        "date": "2026-06-12",
        "index": 480,
        "title": "Control Operators for Interactive Character Animation",
        "folder": "papers/14_Human_Motion/Control_Operators_for_Interactive_Character_Animation"
      },
      {
        "date": "2026-06-11",
        "index": 452,
        "title": "Learning to Ball: Composing Policies for Long-Horizon Basketball Moves",
        "folder": "papers/13_Physics-Based_Animation/Learning_to_Ball__Composing_Policies_for_Long-Horizon_Basketball_Moves"
      },
      {
        "date": "2026-06-09",
        "index": 393,
        "title": "Generative World Modelling for Humanoids: 1X World Model Challenge Technical Report",
        "folder": "papers/11_Simulation_Benchmark/Generative_World_Modelling_for_Humanoids__1X_World_Model_Challenge_Technical_Report"
      },
      {
        "date": "2026-06-08",
        "index": 383,
        "title": "Towards Bridging the Gap: Systematic Sim-to-Real Transfer for Diverse Legged Robots (PACE)",
        "folder": "papers/10_Sim-to-Real/PACE_Systematic_Sim-to-Real_Transfer_for_Diverse_Legged_Robots"
      },
      {
        "date": "2026-06-07",
        "index": 373,
        "title": "Legged Robot State-Estimation Through Combined Forward Kinematic and Preintegrated Contact Factors",
        "folder": "papers/09_State_Estimation/Legged_Robot_State-Estimation_via_Forward_Kinematic_and_Preintegrated_Contact_Factors"
      },
      {
        "date": "2026-06-06",
        "index": 354,
        "title": "Quantum deep reinforcement learning for humanoid robot navigation task",
        "folder": "papers/08_Navigation/Quantum_Deep_RL_for_Humanoid_Robot_Navigation"
      },
      {
        "date": "2026-06-05",
        "index": 333,
        "title": "Learning Adaptive Neural Teleoperation for Humanoid Robots: From Inverse Kinematics to End-to-End Control",
        "folder": "papers/07_Teleoperation/Learning_Adaptive_Neural_Teleoperation_for_Humanoid_Robots"
      },
      {
        "date": "2026-06-04",
        "index": 275,
        "title": "Generalizable Geometric Prior and Recurrent Spiking Feature Learning for Humanoid Robot Manipulation",
        "folder": "papers/06_Manipulation/RGMP-S__Generalizable_Geometric_Prior_and_Recurrent_Spiking_Feature_Learning_for_Humanoid_Manipulation"
      },
      {
        "date": "2026-04-24",
        "index": 14,
        "title": "LATENT: Learning Athletic Humanoid Tennis Skills from Imperfect Human Motion Data",
        "folder": "papers/04_Loco-Manipulation_and_WBC/LATENT__Learning_Athletic_Humanoid_Tennis_Skills_from_Imperfect_Human_Motion_Dat"
      },
      {
        "date": "2026-04-25",
        "index": 15,
        "title": "Ψ₀: An Open Foundation Model Towards Universal Humanoid Loco-Manipulation",
        "folder": "papers/04_Loco-Manipulation_and_WBC/Ψ₀__An_Open_Foundation_Model_Towards_Universal_Humanoid_Loco-Manipulation"
      },
      {
        "date": "2026-04-25",
        "index": 16,
        "title": "SteadyTray: Learning Object Balancing Tasks in Humanoid Tray Transport via Residual RL",
        "folder": "papers/04_Loco-Manipulation_and_WBC/SteadyTray__Learning_Object_Balancing_Tasks_in_Humanoid_Tray_Transport_via_Resid"
      },
      {
        "date": "2026-04-26",
        "index": 17,
        "title": "ZeroWBC: Learning Natural Visuomotor Humanoid Control from Egocentric Video",
        "folder": "papers/04_Loco-Manipulation_and_WBC/ZeroWBC__Learning_Natural_Visuomotor_Humanoid_Control_from_Egocentric_Video"
      },
      {
        "date": "2026-04-28",
        "index": 18,
        "title": "Embedding Classical Balance Control Principles in RL for Humanoid Recovery",
        "folder": "papers/04_Loco-Manipulation_and_WBC/Embedding_Classical_Balance_Control_Principles_in_RL_for_Humanoid_Recovery"
      },
      {
        "date": "2026-04-29",
        "index": 25,
        "title": "MeshMimic: Geometry-Aware Humanoid Motion Learning through 3D Scene Reconstruction",
        "folder": "papers/04_Loco-Manipulation_and_WBC/MeshMimic__Geometry-Aware_Humanoid_Motion_Learning_through_3D_Scene_Reconstructi"
      },
      {
        "date": "2026-04-29",
        "index": 26,
        "title": "General Humanoid Whole-Body Control via Pretraining and Fast Adaptation",
        "folder": "papers/04_Loco-Manipulation_and_WBC/General_Humanoid_Whole-Body_Control_via_Pretraining_and_Fast_Adaptation"
      },
      {
        "date": "2026-04-29",
        "index": 27,
        "title": "HAIC: Humanoid Agile Object Interaction Control via Dynamics-Aware World Model",
        "folder": "papers/04_Loco-Manipulation_and_WBC/HAIC__Humanoid_Agile_Object_Interaction_Control_via_Dynamics-Aware_World_Model"
      },
      {
        "date": "2026-05-01",
        "index": 29,
        "title": "MOSAIC: Bridging the Sim-to-Real Gap in Generalist Humanoid Motion Tracking and Teleoperation with Rapid Residual Adaptation",
        "folder": "papers/04_Loco-Manipulation_and_WBC/MOSAIC__Bridging_the_Sim-to-Real_Gap_in_Generalist_Humanoid_Motion_Tracking_and_"
      },
      {
        "date": "2026-05-02",
        "index": 30,
        "title": "Learning Human-Like Badminton Skills for Humanoid Robots",
        "folder": "papers/04_Loco-Manipulation_and_WBC/Learning_Human-Like_Badminton_Skills_for_Humanoid_Robots"
      },
      {
        "date": "2026-05-03",
        "index": 31,
        "title": "TextOp: Real-time Interactive Text-Driven Humanoid Robot Motion Generation and Control",
        "folder": "papers/04_Loco-Manipulation_and_WBC/TextOp__Real-time_Interactive_Text-Driven_Humanoid_Robot_Motion_Generation_and_C"
      },
      {
        "date": "2026-05-04",
        "index": 32,
        "title": "Humanoid Manipulation Interface: Humanoid Whole-Body Manipulation from Robot-Free Demonstrations",
        "folder": "papers/04_Loco-Manipulation_and_WBC/Humanoid_Manipulation_Interface__Humanoid_Whole-Body_Manipulation_from_Robot-Fre"
      },
      {
        "date": "2026-05-05",
        "index": 34,
        "title": "Learning Soccer Skills for Humanoid Robots: A Progressive Perception-Action Framework",
        "folder": "papers/04_Loco-Manipulation_and_WBC/Learning_Soccer_Skills_for_Humanoid_Robots____A_Progressive_Perception-Action_Fr"
      },
      {
        "date": "2026-05-06",
        "index": 35,
        "title": "PDF-HR: Pose Distance Fields for Humanoid Robots",
        "folder": "papers/04_Loco-Manipulation_and_WBC/PDF-HR__Pose_Distance_Fields_for_Humanoid_Robots"
      },
      {
        "date": "2026-05-07",
        "index": 36,
        "title": "HUSKY: Humanoid Skateboarding System via Physics-Aware Whole-Body Control",
        "folder": "papers/04_Loco-Manipulation_and_WBC/HUSKY__Humanoid_Skateboarding_System_via_Physics-Aware_Whole-Body_Control"
      },
      {
        "date": "2026-05-08",
        "index": 37,
        "title": "Embodiment-Aware Generalist Specialist Distillation for Unified Humanoid Whole-Body Control",
        "folder": "papers/04_Loco-Manipulation_and_WBC/Embodiment-Aware_Generalist_Specialist_Distillation_for_Unified_Humanoid_Whole-B"
      },
      {
        "date": "2026-05-09",
        "index": 38,
        "title": "HumanX: Toward Agile and Generalizable Humanoid Interaction Skills from Human Videos",
        "folder": "papers/04_Loco-Manipulation_and_WBC/HumanX__Toward_Agile_and_Generalizable_Humanoid_Interaction_Skills_from_Human_Vi"
      },
      {
        "date": "2026-05-13",
        "index": 39,
        "title": "TTT-Parkour: Rapid Test-Time Training for Perceptive Robot Parkour",
        "folder": "papers/04_Loco-Manipulation_and_WBC/TTT-Parkour__Rapid_Test-Time_Training_for_Perceptive_Robot_Parkour"
      },
      {
        "date": "2026-05-14",
        "index": "H2",
        "title": "HOVER: Versatile Neural Whole-Body Controller for Humanoid Robots",
        "folder": "papers/03_High_Impact_Selection/HOVER_Versatile_Neural_Whole-Body_Controller",
        "category": "高影响力精选 / 全身控制核心",
        "track": "high_impact_cycle"
      },
      {
        "date": "2026-05-14",
        "index": 40,
        "title": "ZEST: Zero-shot Embodied Skill Transfer for Athletic Robot Control",
        "folder": "papers/04_Loco-Manipulation_and_WBC/ZEST__Zero-shot_Embodied_Skill_Transfer_for_Athletic_Robot_Control",
        "module": "04_Loco-Manipulation_and_WBC",
        "track": "module_rotation"
      },
      {
        "date": "2026-05-15",
        "index": "H9",
        "title": "HOMIE: Humanoid Loco-Manipulation with Isomorphic Exoskeleton Cockpit",
        "folder": "papers/03_High_Impact_Selection/HOMIE_Humanoid_Loco-Manipulation_with_Isomorphic_Exoskeleton_Cockpit",
        "category": "高影响力精选 / 遥操作与模仿学习",
        "track": "high_impact_cycle"
      },
      {
        "date": "2026-05-15",
        "index": 187,
        "title": "Biomechanical Comparisons Reveal Divergence of Human and Humanoid Gaits",
        "folder": "papers/05_Locomotion/Biomechanical_Comparisons_Reveal_Divergence_of_Human_and_Humanoid_Gaits",
        "module": "05_Locomotion"
      },
      {
        "date": "2026-05-16",
        "index": "H12",
        "title": "Real-World Humanoid Locomotion with Reinforcement Learning",
        "folder": "papers/03_High_Impact_Selection/Real-World_Humanoid_Locomotion_with_RL",
        "category": "高影响力精选 / Locomotion 经典",
        "track": "high_impact_cycle"
      },
      {
        "date": "2026-05-16",
        "index": "H23",
        "title": "BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activities",
        "folder": "papers/03_High_Impact_Selection/BEHAVIOR_Robot_Suite_Streamlining_Real-World_Whole-Body_Manipulation",
        "category": "高影响力精选 / 仿真平台与工具",
        "track": "high_impact_cycle"
      },
      {
        "date": "2026-05-16",
        "index": 271,
        "title": "HumDex: Humanoid Dexterous Manipulation Made Easy",
        "folder": "papers/06_Manipulation/HumDex_Humanoid_Dexterous_Manipulation_Made_Easy",
        "module": "06_Manipulation",
        "track": "module_rotation"
      },
      {
        "date": "2026-05-17",
        "index": 329,
        "title": "CLOT: Closed-Loop Global Motion Tracking for Whole-Body Humanoid Teleoperation",
        "folder": "papers/07_Teleoperation/CLOT__Closed-Loop_Global_Motion_Tracking_for_Whole-Body_Humanoid_Teleoperation",
        "module": "07_Teleoperation",
        "track": "module_rotation"
      },
      {
        "date": "2026-05-17",
        "index": "H17",
        "title": "Learning Agile and Dynamic Motor Skills for Legged Robots (ANYmal, Hwangbo et al. 2019)",
        "folder": "papers/03_High_Impact_Selection/Learning_Agile_and_Dynamic_Motor_Skills_for_Legged_Robots",
        "category": "高影响力精选 / Sim-to-Real & Foundation Model",
        "track": "high_impact_cycle"
      },
      {
        "date": "2026-05-18",
        "index": "H21",
        "title": "Humanoid-Gym: Reinforcement Learning for Humanoid Robot with Zero-Shot Sim2Real Transfer",
        "folder": "papers/03_High_Impact_Selection/Humanoid-Gym_Zero-Shot_Sim2Real_Transfer",
        "category": "高影响力精选 / 仿真平台与工具",
        "track": "high_impact_cycle",
        "note": "Humanoid-Gym 笔记定稿日期；与轨 A 三分类同日多轨并存时在日志中保留。"
      },
      {
        "date": "2026-05-18",
        "index": 350,
        "title": "EgoActor: Grounding Task Planning into Spatial-aware Egocentric Actions for Humanoid Robots via Visual-Language Models",
        "folder": "papers/08_Navigation/EgoActor__Grounding_Task_Planning_into_Spatial-aware_Egocentric_Actions_for_Hum",
        "module": "08_Navigation",
        "track": "module_rotation"
      },
      {
        "date": "2026-05-19",
        "index": 368,
        "title": "AutoOdom: Learning Auto-regressive Proprioceptive Odometry for Legged Locomotion",
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        "title": "HugWBC: A Unified and General Humanoid Whole-Body Controller for Versatile Locomotion",
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        "title": "iDP3: Generalizable Humanoid Manipulation with Improved 3D Diffusion Policies",
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        "date": "2026-05-20",
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        "title": "SONIC: Supersizing Motion Tracking for Natural Humanoid Whole-Body Control",
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        "date": "2026-05-21",
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        "title": "UH-1: Learning from Massive Human Videos for Universal Humanoid Pose Control",
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        "date": "2026-05-22",
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        "title": "Humanoid Locomotion as Next Token Prediction",
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        "category": "高影响力精选 / Locomotion 经典",
        "track": "high_impact_cycle"
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        "date": "2026-05-20",
        "index": 379,
        "title": "RAPT: Model-Predictive Out-of-Distribution Detection and Failure Diagnosis for Sim-to-Real Humanoid Robots",
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        "date": "2026-05-22",
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        "date": "2026-05-23",
        "index": 410,
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        "date": "2026-05-24",
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        "date": "2026-05-17",
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        "title": "Behavior Foundation Model for Humanoid Robots",
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        "date": "2026-05-17",
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        "date": "2026-05-17",
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        "date": "2026-05-17",
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        "date": "2026-05-17",
        "index": 476,
        "title": "Learned Motion Matching",
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        "date": "2026-05-17",
        "index": 51,
        "title": "Robust and Generalized Humanoid Motion Tracking",
        "folder": "papers/04_Loco-Manipulation_and_WBC/Robust_and_Generalized_Humanoid_Motion_Tracking",
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        "date": "2026-05-18",
        "index": 188,
        "title": "APEX: Learning Adaptive High-Platform Traversal for Humanoid Robots",
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      {
        "date": "2026-05-19",
        "index": 272,
        "title": "cuRoboV2: Dynamics-Aware Motion Generation with Depth-Fused Distance Fields for High-DoF Robots",
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      {
        "date": "2026-05-19",
        "index": 330,
        "title": "ExtremControl: Low-Latency Humanoid Teleoperation with Direct Extremity Control",
        "folder": "papers/07_Teleoperation/ExtremControl__Low-Latency_Humanoid_Teleoperation_with_Direct_Extremity_Control",
        "module": "07_Teleoperation",
        "track": "module_rotation"
      },
      {
        "date": "2026-05-19",
        "index": 351,
        "title": "FocusNav: Spatial Selective Attention with Waypoint Guidance for Humanoid Local Navigation",
        "folder": "papers/08_Navigation/FocusNav__Spatial_Selective_Attention_with_Waypoint_Guidance_for_Humanoid_Local",
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        "track": "module_rotation"
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        "date": "2026-05-19",
        "index": 369,
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        "title": "InEKFormer: A Hybrid State Estimator for Humanoid Robots",
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        "arxiv": "2511.16306",
        "source_repo": "截至当前未见公开发布",
        "track": "B"
      },
      {
        "date": "2026-05-19",
        "index": 380,
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        "title": "LIFT: Towards Bridging the Gap between Large-Scale Pretraining and Efficient Finetuning for Humanoid Control",
        "note_path": "papers/10_Sim-to-Real/LIFT__Towards_Bridging_the_Gap_between_Large-Scale_Pretraining_and_Efficient_F/LIFT__Towards_Bridging_the_Gap_between_Large-Scale_Pretraining_and_Efficient_F.md",
        "arxiv": "2601.21363",
        "source_repo": "https://github.com/bigai-ai/LIFT-humanoid",
        "project_page": "https://lift-humanoid.github.io/",
        "track": "B"
      },
      {
        "date": "2026-05-19",
        "index": 390,
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        "title": "Towards Motion Turing Test: Evaluating Human-Likeness in Humanoid Robots",
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        "arxiv": "2603.06181",
        "source_repo": "尚未公开（论文承诺即将释出）",
        "track": "B"
      },
      {
        "date": "2026-05-24",
        "index": 411,
        "module": "12_Hardware_Design",
        "title": "Fauna Sprout: A lightweight, approachable, developer-ready humanoid robot",
        "note_path": "papers/12_Hardware_Design/Fauna_Sprout_A_lightweight_approachable_developer-ready_humanoid_robot/Fauna_Sprout_A_lightweight_approachable_developer-ready_humanoid_robot.md",
        "arxiv": "2601.18963",
        "source_repo": "未发布开源仓库；提供 Python/C++ SDK（Fauna Robotics）",
        "track": "B"
      },
      {
        "date": "2026-05-19",
        "index": 449,
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        "title": "CRISP: Contact-Guided Real2Sim from Monocular Video with Planar Scene Primitives",
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        "arxiv": "2512.14696",
        "source_repo": "https://github.com/Z1hanW/CRISP-Real2Sim",
        "venue": "ICLR 2026",
        "track": "B"
      },
      {
        "date": "2026-05-19",
        "index": 477,
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        "title": "EmbodMocap: In-the-Wild 4D Human-Scene Reconstruction for Embodied Agents",
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        "arxiv": "2602.23205",
        "source_repo": "https://github.com/WenjiaWang0312/EmbodMocap",
        "project_page": "https://wenjiawang0312.github.io/projects/embodmocap/",
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        "track": "B"
      },
      {
        "date": "2026-05-19",
        "index": 52,
        "title": "Semantic Co-Speech Gesture Synthesis and Real-Time Control for Humanoid Robots",
        "folder": "papers/04_Loco-Manipulation_and_WBC/Semantic_Co-Speech_Gesture_Synthesis_and_Real-Time_Control_for_Humanoid_Robots"
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      {
        "date": "2026-05-20",
        "index": 190,
        "title": "Now You See That: Learning End-to-End Humanoid Locomotion from Raw Pixels",
        "folder": "papers/05_Locomotion/Now_You_See_That_Learning_End-to-End_Humanoid_Locomotion_from_Raw_Pixels",
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        "track": "module_rotation"
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      {
        "date": "2026-05-20",
        "index": 273,
        "title": "DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos",
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        "module": "06_Manipulation",
        "track": "module_rotation",
        "arxiv": "2602.06949",
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      },
      {
        "date": "2026-05-20",
        "index": 331,
        "title": "TeleGate: Whole-Body Humanoid Teleoperation via Gated Expert Selection with Motion Prior",
        "folder": "papers/07_Teleoperation/TeleGate__Whole-Body_Humanoid_Teleoperation_via_Gated_Expert_Selection_with_Motion_Prior",
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        "track": "module_rotation",
        "arxiv": "2602.09628",
        "source_repo": "",
        "project_page": ""
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        "date": "2026-05-20",
        "index": 352,
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        "module": "08_Navigation",
        "track": "module_rotation",
        "arxiv": "2506.01046",
        "source_repo": "",
        "project_page": "https://state-nav.github.io/statenav/"
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        "date": "2026-05-20",
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        "title": "Physics-Informed Neural Networks with Unscented Kalman Filter for Sensorless Joint Torque Estimation in Humanoid Robots",
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        "arxiv": "2507.10105",
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        "predecessor_pinn_repo": "https://github.com/ami-iit/paper_sorrentino_2024_humanoids_friction_estimation",
        "venue": "IEEE RA-L 2025",
        "track": "B"
      },
      {
        "date": "2026-05-20",
        "index": 381,
        "title": "PolySim: Bridging the Sim-to-Real Gap for Humanoid Control via Multi-Simulator Dynamics Randomization",
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        "note_path": "papers/10_Sim-to-Real/PolySim__Bridging_the_Sim-to-Real_Gap_for_Humanoid_Control_via_Multi-Simulato/PolySim__Bridging_the_Sim-to-Real_Gap_for_Humanoid_Control_via_Multi-Simulato.md",
        "track": "module_rotation",
        "source_url": "https://github.com/EmboMaster/PolySim"
      },
      {
        "date": "2026-05-20",
        "index": 391,
        "title": "MolmoSpaces: A Large-Scale Open Ecosystem for Robot Navigation and Manipulation",
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        "category": "11_Simulation_Benchmark",
        "note_path": "papers/11_Simulation_Benchmark/MolmoSpaces__A_Large-Scale_Open_Ecosystem_for_Robot_Navigation_and_Manipulation/MolmoSpaces__A_Large-Scale_Open_Ecosystem_for_Robot_Navigation_and_Manipulation.md",
        "track": "module_rotation",
        "arxiv": "2602.11337",
        "source_repo": "https://github.com/allenai/molmospaces",
        "project_page": "https://allenai.org/blog/molmospaces"
      },
      {
        "date": "2026-05-20",
        "index": 412,
        "title": "Antagonistic Bowden-Cable Actuation of a Lightweight Robotic Hand: Toward Dexterous Manipulation for Payload-Constrained Humanoids",
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        "category": "12_Hardware_Design",
        "note_path": "papers/12_Hardware_Design/Antagonistic_Bowden-Cable_Actuation_of_a_Lightweight_Robotic_Hand/Antagonistic_Bowden-Cable_Actuation_of_a_Lightweight_Robotic_Hand.md",
        "track": "module_rotation",
        "arxiv": "2512.24657",
        "source_repo": null,
        "project_page": null
      },
      {
        "date": "2026-05-20",
        "index": 450,
        "title": "Mimic2DM: Learning to Control Physically-simulated 3D Characters via Generating and Mimicking 2D Motions",
        "module": "13_Physics-Based_Animation",
        "category": "13_Physics-Based_Animation",
        "note_path": "papers/13_Physics-Based_Animation/Mimic2DM__Generating_and_Mimicking_2D_Motions_for_3D_Character_Control/Mimic2DM__Generating_and_Mimicking_2D_Motions_for_3D_Character_Control.md",
        "track": "module_rotation",
        "arxiv": "2512.08500",
        "source_repo": null,
        "project_page": "https://jiann-li.github.io/mimic2dm/"
      },
      {
        "date": "2026-05-21",
        "index": 478,
        "title": "WHOLE: World-Grounded Hand-Object Lifted from Egocentric Videos",
        "module": "14_Human_Motion",
        "category": "14_Human_Motion",
        "note_path": "papers/14_Human_Motion/WHOLE__World-Grounded_Hand-Object_Lifted_from_Egocentric_Videos/WHOLE__World-Grounded_Hand-Object_Lifted_from_Egocentric_Videos.md",
        "track": "module_rotation",
        "arxiv": "2602.22209",
        "source_repo": null,
        "project_page": "https://judyye.github.io/whole-www/"
      },
      {
        "date": "2026-05-22",
        "index": 52,
        "title": "RoboStriker: Hierarchical Decision-Making for Autonomous Humanoid Boxing",
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        "category": "04_Loco-Manipulation_and_WBC",
        "note_path": "papers/04_Loco-Manipulation_and_WBC/RoboStriker__Hierarchical_Decision-Making_for_Autonomous_Humanoid_Boxing/RoboStriker__Hierarchical_Decision-Making_for_Autonomous_Humanoid_Boxing.md",
        "track": "module_rotation",
        "arxiv": "2601.22517",
        "source_repo": null,
        "project_page": null
      },
      {
        "date": "2026-05-23",
        "index": 191,
        "title": "A Hybrid Autoencoder for Robust Heightmap Generation from Fused Lidar and Depth Data for Humanoid Robot Locomotion",
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        "category": "05_Locomotion",
        "note_path": "papers/05_Locomotion/Hybrid_Autoencoder_for_Robust_Heightmap_from_Fused_Lidar_and_Depth_Data/Hybrid_Autoencoder_for_Robust_Heightmap_from_Fused_Lidar_and_Depth_Data.md",
        "track": "module_rotation",
        "arxiv": "2602.05855",
        "source_repo": null,
        "project_page": null,
        "venue": "VDI Mechatronics Conference 2026"
      },
      {
        "date": "2026-05-24",
        "index": 274,
        "title": "HumanoidVLM: Vision-Language-Guided Impedance Control for Contact-Rich Humanoid Manipulation",
        "folder": "papers/06_Manipulation/HumanoidVLM_Vision-Language-Guided_Impedance_Control_for_Contact-Rich_Humanoid_Manipulation"
      },
      {
        "date": "2026-05-25",
        "index": 332,
        "title": "SEW-Mimic: A Closed-Form Geometric Retargeting Solver for Upper Body Humanoid Robot Teleoperation",
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        "category": "07_Teleoperation",
        "note_path": "papers/07_Teleoperation/SEW-Mimic__Closed-Form_Geometric_Retargeting_Solver_for_Upper_Body_Humanoid_Teleoperation/SEW-Mimic__Closed-Form_Geometric_Retargeting_Solver_for_Upper_Body_Humanoid_Teleoperation.md",
        "track": "module_rotation",
        "arxiv": "2602.01632",
        "source_repo": null,
        "project_page": "https://sew-mimic.com/"
      },
      {
        "date": "2026-05-26",
        "index": 353,
        "title": "Thinking in 360°: Humanoid Visual Search in the Wild",
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        "category": "08_Navigation",
        "note_path": "papers/08_Navigation/Thinking_in_360__Humanoid_Visual_Search_in_the_Wild/Thinking_in_360__Humanoid_Visual_Search_in_the_Wild.md",
        "track": "module_rotation",
        "arxiv": "2511.20351",
        "source_repo": "https://github.com/THUSI-Lab/hstar",
        "project_page": "https://humanoid-vstar.github.io/",
        "venue": "CVPR 2026"
      },
      {
        "date": "2026-05-27",
        "index": 371,
        "title": "An Empirical Evaluation of Four Off-the-Shelf Proprietary Visual-Inertial Odometry Systems",
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        "category": "09_State_Estimation",
        "note_path": "papers/09_State_Estimation/An_Empirical_Evaluation_of_Four_Off-the-Shelf_Proprietary_VIO_Systems/An_Empirical_Evaluation_of_Four_Off-the-Shelf_Proprietary_VIO_Systems.md",
        "track": "module_rotation",
        "arxiv": "2207.06780",
        "source_repo": "https://github.com/PyojinKim/ARKit-Data-Logger",
        "project_page": "https://www.mdpi.com/1424-8220/22/24/9873",
        "venue": "Sensors (MDPI) 2022, DOI 10.3390/s22249873"
      },
      {
        "date": "2026-05-28",
        "index": 382,
        "title": "Contrastive Representation Learning for Robust Sim-to-Real Transfer of Adaptive Humanoid Locomotion",
        "folder": "papers/10_Sim-to-Real/Contrastive_Representation_Learning_for_Adaptive_Humanoid_Locomotion"
      },
      {
        "date": "2026-05-29",
        "index": 392,
        "title": "Benchmarking Humanoid Imitation Learning with Motion Difficulty",
        "folder": "papers/11_Simulation_Benchmark/Benchmarking_Humanoid_Imitation_Learning_with_Motion_Difficulty"
      },
      {
        "date": "2026-05-30",
        "index": 413,
        "title": "Olaf: Bringing an Animated Character to Life in the Physical World",
        "folder": "papers/12_Hardware_Design/Olaf_Bringing_an_Animated_Character_to_Life_in_the_Physical_World"
      },
      {
        "date": "2026-05-31",
        "index": 451,
        "title": "PhysHMR: Learning Humanoid Control Policies from Vision for Physically Plausible Human Motion Reconstruction",
        "folder": "papers/13_Physics-Based_Animation/PhysHMR__Learning_Humanoid_Control_Policies_from_Vision_for_Physical_HMR"
      },
      {
        "date": "2026-06-01",
        "index": 479,
        "title": "MAGNet: Diffusion Forcing for Multi-Agent Interaction Sequence Modeling",
        "folder": "papers/14_Human_Motion/MAGNet__Diffusion_Forcing_for_Multi-Agent_Interaction_Sequence_Modeling"
      },
      {
        "date": "2026-06-02",
        "index": 53,
        "title": "PILOT: A Perceptive Integrated Low-level Controller for Loco-manipulation over Unstructured Scenes",
        "module": "04_Loco-Manipulation_and_WBC",
        "category": "04_Loco-Manipulation_and_WBC",
        "note_path": "papers/04_Loco-Manipulation_and_WBC/PILOT__A_Perceptive_Integrated_Low-level_Controller_for_Loco-manipulation/PILOT__A_Perceptive_Integrated_Low-level_Controller_for_Loco-manipulation.md",
        "track": "module_rotation",
        "arxiv": "2601.17440",
        "source_repo": null,
        "project_page": null
      },
      {
        "date": "2026-06-03",
        "index": 192,
        "title": "XHugWBC: Scalable and General Whole-Body Control for Cross-Humanoid Locomotion",
        "module": "05_Locomotion",
        "category": "05_Locomotion",
        "note_path": "papers/05_Locomotion/XHugWBC__Scalable_and_General_Whole-Body_Control_for_Cross-Humanoid_Locomotion/XHugWBC__Scalable_and_General_Whole-Body_Control_for_Cross-Humanoid_Locomotion.md",
        "track": "module_rotation",
        "arxiv": "2602.05791",
        "source_repo": null,
        "project_page": "https://xhugwbc.github.io/"
      },
      {
        "date": "2026-06-10",
        "index": 414,
        "title": "OSMO: Open-Source Tactile Glove for Human-to-Robot Skill Transfer",
        "module": "12_Hardware_Design",
        "category": "12_Hardware_Design",
        "note_path": "papers/12_Hardware_Design/OSMO_Open-Source_Tactile_Glove_for_Human-to-Robot_Skill_Transfer/OSMO_Open-Source_Tactile_Glove_for_Human-to-Robot_Skill_Transfer.md",
        "track": "module_rotation",
        "arxiv": "2512.08920",
        "source_repo": "https://github.com/jessicayin/osmo_tactile_glove",
        "project_page": "https://jessicayin.github.io/osmo_tactile_glove/"
      },
      {
        "date": "2026-06-10",
        "index": 540,
        "title": "HALO: Closing Sim-to-Real Gap for Heavy-loaded Humanoid Agile Motion Skills via Differentiable Simulation",
        "module": "10_Sim-to-Real",
        "category": "10_Sim-to-Real",
        "note_path": "papers/10_Sim-to-Real/HALO_Closing_Sim-to-Real_Gap_for_Heavy-loaded_Humanoid_Agile_Motion/HALO_Closing_Sim-to-Real_Gap_for_Heavy-loaded_Humanoid_Agile_Motion.md",
        "track": "module_rotation",
        "arxiv": "2603.15084",
        "source_repo": null,
        "project_page": "https://mwondering.github.io/halo-humanoid/"
      },
      {
        "date": "2026-06-10",
        "index": 408,
        "title": "ComFree-Sim: A GPU-Parallelized Analytical Contact Physics Engine for Scalable Contact-Rich Robotics Simulation and Control",
        "module": "11_Simulation_Benchmark",
        "category": "11_Simulation_Benchmark",
        "note_path": "papers/11_Simulation_Benchmark/ComFree-Sim__GPU-Parallelized_Analytical_Contact_Physics_Engine/ComFree-Sim__GPU-Parallelized_Analytical_Contact_Physics_Engine.md",
        "track": "module_rotation",
        "arxiv": "2603.12185",
        "source_repo": "https://github.com/asu-iris/comfree_warp",
        "project_page": "https://irislab.tech/comfree-sim/"
      },
      {
        "date": "2026-06-13",
        "index": 520,
        "title": "Kimodo: Scaling Controllable Human Motion Generation",
        "module": "14_Human_Motion",
        "category": "14_Human_Motion",
        "note_path": "papers/14_Human_Motion/Kimodo__Scaling_Controllable_Human_Motion_Generation/Kimodo__Scaling_Controllable_Human_Motion_Generation.md",
        "track": "module_rotation",
        "arxiv": "2603.15546",
        "source_repo": "https://github.com/nv-tlabs/kimodo",
        "project_page": "https://research.nvidia.com/labs/sil/projects/kimodo/"
      },
      {
        "date": "2026-06-21",
        "index": 546,
        "title": "HANDOFF: Humanoid Agentic Task-Space Whole-Body Control via Distilled Complementary Teachers",
        "module": "04_Loco-Manipulation_and_WBC",
        "category": "04_Loco-Manipulation_and_WBC",
        "note_path": "papers/04_Loco-Manipulation_and_WBC/HANDOFF__Humanoid_Agentic_Task-Space_Whole-Body_Control_via_Distilled_Teachers/HANDOFF__Humanoid_Agentic_Task-Space_Whole-Body_Control_via_Distilled_Teachers.md",
        "track": "module_rotation",
        "arxiv": "2606.06493",
        "source_repo": "https://github.com/lzyang2000/HANDOFF",
        "project_page": "https://lzyang2000.github.io/HANDOFF/"
      },
      {
        "date": "2026-06-24",
        "index": 368,
        "title": "LOVON: Legged Open-Vocabulary Object Navigator",
        "module": "08_Navigation",
        "category": "08_Navigation",
        "note_path": "papers/08_Navigation/LOVON__Legged_Open-Vocabulary_Object_Navigator/LOVON__Legged_Open-Vocabulary_Object_Navigator.md",
        "track": "module_rotation",
        "arxiv": "2507.06747",
        "source_repo": "https://github.com/DaojiePENG/LOVON",
        "project_page": "https://daojiepeng.github.io/LOVON/"
      },
      {
        "date": "2026-06-25",
        "index": 552,
        "title": "GRAIL: Generating Humanoid Loco-Manipulation from 3D Assets and Video Priors",
        "module": "11_Simulation_Benchmark",
        "category": "11_Simulation_Benchmark",
        "note_path": "papers/11_Simulation_Benchmark/GRAIL__Generating_Humanoid_Loco-Manipulation_from_3D_Assets_and_Video_Priors/GRAIL__Generating_Humanoid_Loco-Manipulation_from_3D_Assets_and_Video_Priors.md",
        "track": "module_rotation",
        "arxiv": "2606.05160",
        "source_repo": "https://github.com/NVlabs/GRAIL",
        "project_page": "https://research.nvidia.com/labs/dair/grail/"
      },
      {
        "date": "2026-07-02",
        "index": 340,
        "title": "CLONE: Closed-Loop Whole-Body Humanoid Teleoperation for Long-Horizon Tasks",
        "module": "07_Teleoperation",
        "category": "07_Teleoperation",
        "note_path": "papers/07_Teleoperation/CLONE__Closed-Loop_Whole-Body_Humanoid_Teleoperation_for_Long-Horizon_Tasks/CLONE__Closed-Loop_Whole-Body_Humanoid_Teleoperation_for_Long-Horizon_Tasks.md",
        "track": "module_rotation",
        "arxiv": "2506.08931",
        "source_repo": "https://github.com/humanoid-clone/CLONE",
        "project_page": "https://humanoid-clone.github.io/"
      },
      {
        "date": "2026-07-05",
        "index": "385a",
        "title": "SPI-Active: Sampling-Based System Identification with Active Exploration for Legged Robot Sim2Real Learning",
        "module": "10_Sim-to-Real",
        "category": "10_Sim-to-Real",
        "note_path": "papers/10_Sim-to-Real/SPI-Active__Sampling-Based_System_Identification_with_Active_Exploration/SPI-Active__Sampling-Based_System_Identification_with_Active_Exploration.md",
        "track": "module_rotation",
        "arxiv": "2505.14266",
        "source_repo": "https://github.com/LeCAR-Lab/SPI-Active",
        "project_page": "https://lecar-lab.github.io/spi-active_/"
      },
      {
        "date": "2026-07-06",
        "index": "553",
        "title": "SIMPLE: Simulation-Based Policy Learning and Evaluation for Humanoid Loco-manipulation",
        "module": "11_Simulation_Benchmark",
        "category": "11_Simulation_Benchmark",
        "note_path": "papers/11_Simulation_Benchmark/SIMPLE__Simulation-Based_Policy_Learning_and_Evaluation_for_Humanoid_Loco-manipulation/SIMPLE__Simulation-Based_Policy_Learning_and_Evaluation_for_Humanoid_Loco-manipulation.md",
        "track": "module_rotation",
        "arxiv": "2606.08278",
        "source_repo": "https://github.com/physical-superintelligence-lab/SIMPLE",
        "project_page": "https://psi-lab.ai/SIMPLE/"
      },
      {
        "date": "2026-07-07",
        "index": "417",
        "title": "Human-Level Actuation for Humanoids",
        "module": "12_Hardware_Design",
        "category": "12_Hardware_Design",
        "note_path": "papers/12_Hardware_Design/Human-Level_Actuation_for_Humanoids/Human-Level_Actuation_for_Humanoids.md",
        "track": "module_rotation",
        "arxiv": "2511.06796",
        "source_repo": null,
        "project_page": null
      },
      {
        "date": "2026-07-08",
        "index": 554,
        "title": "RobotDancing: Residual-Action Reinforcement Learning Enables Robust Long-Horizon Humanoid Motion Tracking",
        "folder": "papers/13_Physics-Based_Animation/RobotDancing__Residual-Action_RL_Enables_Robust_Long-Horizon_Motion_Tracking",
        "module": "13_Physics-Based_Animation",
        "arxiv": "2509.20717",
        "source": "论文未公开代码/项目页 · 残差动作 RL(q^tar=q^ref+a) 显式补偿模型-实机差异 · 仅髋/膝 pitch 选择性残差化(全局位置误差↓15.7%) · 单阶段非对称 PPO(MuJoCo·50Hz) · Orin NX 零样本部署 · LAFAN1 全 8 段舞蹈在 Unitree G1 跑通并迁移 H1/H1-2 · TUM 等 · 模块轮转（12_Hardware_Design → 13_Physics-Based_Animation）"
      },
      {
        "date": "2026-07-09",
        "index": 521,
        "title": "HUMOTO: A 4D Dataset of Mocap Human Object Interactions",
        "folder": "papers/14_Human_Motion/HUMOTO__A_4D_Dataset_of_Mocap_Human_Object_Interactions",
        "module": "14_Human_Motion",
        "arxiv": "2504.10414",
        "source_repo": "https://github.com/Jiaxin-Lu/humoto",
        "project_page": "https://jiaxin-lu.github.io/humoto/",
        "source": "🌟 开源 · LLM 场景编剧(目的性任务脚本)+抗遮挡动捕多相机录制+专业清洗去脚滑穿模 · 735 段·~7875s@30fps·63 精确物体网格·72 铰接人体部件(Mixamo 兼容) · 面向动作生成/姿态估计/机器人仿真/2D 编辑多任务基准 · UT Austin × Adobe Research · ICCV 2025 · 模块轮转（13_Physics-Based_Animation → 14_Human_Motion）"
      },
      {
        "date": "2026-08-07",
        "index": 564,
        "title": "RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies",
        "folder": "papers/11_Simulation_Benchmark/RoboDojo__A_Unified_Sim-and-Real_Benchmark_for_Generalist_Manipulation_Policies",
        "module": "11_Simulation_Benchmark",
        "arxiv": "2607.04434",
        "source_repo": "https://github.com/RoboDojo-Benchmark/RoboDojo",
        "project_page": "https://robodojo-benchmark.com/",
        "source": "🌟 开源 · 统一「仿真+真机」评测通用操作策略 · 42 仿真任务(Isaac Sim)按泛化/记忆/长时程/精度/开放语义五维度组织 + 18 真机任务经 RoboDojo-RealEval 标准化(云端远程+三人双盲) · 异构并行仿真保多样性 · XPolicyLab 统一 30 策略接口一次接入处处评测 + 公开排行榜 · 仿真最强 8.80%/真机最强 12.8% vs 人类 76%/100% · MMLab@HKU 等 44+ 作者 · 含整体流程 mermaid + 源码运行时序图"
      },
      {
        "date": "2026-08-08",
        "index": 565,
        "title": "MIDAS Hand: Modular low-Impedance Direct-drive Anthropomorphic Sensing Hand",
        "folder": "papers/12_Hardware_Design/MIDAS_Hand__Modular_low-Impedance_Direct-drive_Anthropomorphic_Sensing_Hand",
        "module": "12_Hardware_Design",
        "arxiv": "2607.14487",
        "source_repo": "https://github.com/midas-hand-org",
        "project_page": "https://midas-hand.com",
        "source": "🌟 开源(CC BY 4.0) · 直驱+低反驱扭矩+分布式触觉的仿人灵巧手 · 16 DoF(13 主动)/283 三轴 taxel/700g/BoM<3000美元/3D打印<3h装配 · current-based 位置控制(模式5)接触顺从 · 开源四件套 api/mujoco/retargeter/teleop(MediaPipe→重定向→API,50Hz) · UCLA RoMeLa(Dennis Hong) · 含整体流程 mermaid + 源码运行时序图 · 模块轮转（11_Simulation_Benchmark → 12_Hardware_Design）"
      },
      {
        "date": "2026-08-30",
        "index": 583,
        "title": "Embracing Evolution: A Call for Body-Control Co-Design in Embodied Humanoid Robot",
        "folder": "papers/12_Hardware_Design/Embracing_Evolution_A_Call_for_Body-Control_Co-Design_in_Embodied_Humanoid_Robot",
        "module": "12_Hardware_Design",
        "arxiv": "2510.03081",
        "has_open_source": false
      },
      {
        "date": "2026-08-31",
        "index": 455,
        "title": "Humanoid Robot Acrobatics Utilizing Complete Articulated Rigid Body Dynamics",
        "folder": "papers/13_Physics-Based_Animation/Humanoid_Robot_Acrobatics_Utilizing_Complete_Articulated_Rigid_Body_Dynamics",
        "module": "13_Physics-Based_Animation",
        "arxiv": "2508.08258",
        "has_open_source": false
      },
      {
        "date": "2026-09-05",
        "index": 347,
        "title": "Deep Imitation Learning for Humanoid Loco-manipulation through Human Teleoperation",
        "folder": "papers/07_Teleoperation/TRILL__Deep_Imitation_Learning_for_Humanoid_Loco-manipulation_through_Human_Teleoperation",
        "module": "07_Teleoperation",
        "arxiv": "2309.01952",
        "has_open_source": true
      },
      {
        "date": "2026-09-17",
        "index": 592,
        "title": "MoVT: Video-Augmented Motion Tokenizer for Text-to-Motion Generation",
        "folder": "papers/14_Human_Motion/MoVT__Video-Augmented_Motion_Tokenizer_for_Text-to-Motion_Generation",
        "module": "14_Human_Motion",
        "arxiv": "2609.14965",
        "has_open_source": false
      },
      {
        "date": "2026-09-18",
        "index": 532,
        "title": "ReActor: Reinforcement Learning for Physics-Aware Motion Retargeting",
        "folder": "papers/02_Motion_Retargeting/ReActor__Reinforcement_Learning_for_Physics-Aware_Motion_Retargeting",
        "module": "02_Motion_Retargeting",
        "arxiv": "2605.06593",
        "has_open_source": false
      },
      {
        "date": "2026-09-24",
        "index": 377,
        "title": "ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM",
        "folder": "papers/09_State_Estimation/ORB-SLAM3__Visual_Visual-Inertial_and_Multi-Map_SLAM",
        "module": "09_State_Estimation",
        "arxiv": "2007.11898",
        "project_page": "https://github.com/UZ-SLAMLab/ORB_SLAM3",
        "code": "https://github.com/UZ-SLAMLab/ORB_SLAM3 (C++, GPLv3)",
        "source": "✅ 已开源(含源码运行时序图) · 全程 MAP 紧耦合 VI-SLAM + Atlas 多地图 + 高召回位置识别；单目/双目/RGB-D × 针孔/鱼眼 · EuRoC 双目-惯性 3.6 cm、TUM-VI room 9 mm · 萨拉戈萨大学 · IEEE T-RO 2021"
      },
      {
        "date": "2026-09-25",
        "index": 402,
        "title": "ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI",
        "folder": "papers/11_Simulation_Benchmark/ManiSkill3__GPU_Parallelized_Robotics_Simulation_and_Rendering",
        "module": "11_Simulation_Benchmark",
        "arxiv": "2410.00425",
        "project_page": "http://maniskill.ai/",
        "code": "https://github.com/haosulab/ManiSkill (Python, Apache-2.0 环境 / CC BY-NC 4.0 资产)",
        "source": "✅ 已开源(含源码运行时序图) · SAPIEN GPU 并行仿真 + 并行渲染 · 异构仿真 · 12 类任务 20+ 机器人 · 30,000+ FPS、显存为 Isaac Lab 的 1/2–1/3 · UCSD / Hillbot · RSS 2025"
      },
      {
        "date": "2026-09-26",
        "index": 420,
        "title": "Evolutionary Continuous Adaptive RL-Powered Co-Design for Humanoid Chin-Up Performance",
        "folder": "papers/12_Hardware_Design/EA-CoRL_Evolutionary_Continuous_Adaptive_RL_Co-Design_for_Humanoid_Chin-Up",
        "module": "12_Hardware_Design",
        "arxiv": "2509.26082",
        "project_page": "",
        "code": "",
        "source": "⏳ 未公开源码 · CMA-ES 进化减速比 + PPO 策略连续自适应 · RH5 引体向上 · DFKI / ETH Zurich"
      },
      {
        "date": "2026-09-27",
        "index": 472,
        "title": "Feature-Based vs. GAN-Based Learning from Demonstrations: When and Why",
        "folder": "papers/13_Physics-Based_Animation/Feature-Based_vs_GAN-Based_Learning_from_Demonstrations__When_and_Why",
        "module": "13_Physics-Based_Animation",
        "arxiv": "2507.05906",
        "project_page": "",
        "code": "",
        "source": "⏳ 综述无源码 · 特征式 vs GAN 式示范学习 · 奖励结构对比 + 常见误解澄清 · ETH Zurich"
      },
      {
        "date": "2026-09-28",
        "index": 501,
        "title": "FAME: Force-Adaptive RL for Expanding the Manipulation Envelope of a Full-Scale Humanoid",
        "folder": "papers/04_Loco-Manipulation_and_WBC/FAME__Force-Adaptive_RL_for_Expanding_the_Manipulation_Envelope_of_a_Full-Scale_Humanoid",
        "module": "04_Loco-Manipulation_and_WBC",
        "arxiv": "2603.08961",
        "project_page": "https://fame10.github.io/Fame/",
        "code": "https://github.com/correlllab/h12_adaptive_policy (Python，部署代码 + 编码器/策略权重，未含训练代码)",
        "source": "✅ 已开源部署代码(含源码运行时序图) · 上半身上下文编码器 + PPO 站立策略 · 无传感器手腕力估计 · Unitree H12 · CU Boulder"
      },
      {
        "date": "2026-09-29",
        "index": 202,
        "title": "E-SDS: Environment-aware See it, Do it, Sorted - Automated Environment-Aware Reinforcement Learning for Humanoid Locomotion",
        "folder": "papers/05_Locomotion/E-SDS__Environment-Aware_Automated_Reward_Generation_for_Humanoid_Locomotion",
        "module": "05_Locomotion",
        "arxiv": "2512.16446",
        "project_page": "",
        "code": "",
        "source": "⏳ 未开源（前作 SDS: https://github.com/RPL-CS-UCL/SDS）· VLM 环境感知奖励生成 · 感知式行走 · Unitree G1 仿真 · UCL"
      },
      {
        "date": "2026-09-30",
        "index": 301,
        "title": "DexUMI: Using Human Hand as the Universal Manipulation Interface for Dexterous Manipulation",
        "folder": "papers/06_Manipulation/DexUMI__Using_Human_Hand_as_the_Universal_Manipulation_Interface",
        "module": "06_Manipulation",
        "arxiv": "2505.21864",
        "project_page": "https://dex-umi.github.io/",
        "code": "https://github.com/real-stanford/DexUMI",
        "source": "🌟 官方开源，已附源码运行时序图"
      },
      {
        "date": "2026-10-01",
        "index": 319,
        "title": "Open-TeleVision: Teleoperation with Immersive Active Visual Feedback",
        "folder": "papers/07_Teleoperation/Open-TeleVision__Teleoperation_with_Immersive_Active_Visual_Feedback",
        "module": "07_Teleoperation",
        "arxiv": "2407.01512",
        "project_page": "https://robot-tv.github.io/",
        "code": "https://github.com/OpenTeleVision/TeleVision",
        "source": "🌟 官方开源，已附源码运行时序图"
      },
      {
        "date": "2026-10-02",
        "index": 376,
        "title": "Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping",
        "folder": "papers/09_State_Estimation/Kimera__Open-Source_Library_for_Real-Time_Metric-Semantic_Localization_and_Mapping",
        "module": "09_State_Estimation",
        "arxiv": "1910.02490",
        "project_page": "https://github.com/MIT-SPARK/Kimera",
        "code": "https://github.com/MIT-SPARK/Kimera (C++, BSD；Kimera-VIO / Kimera-RPGO / Kimera-Mesher / Kimera-Semantics 分仓)",
        "source": "✅ 已开源(含源码运行时序图) · 双目+IMU 纯 CPU 实时度量-语义 SLAM：VIO + 鲁棒 PGO(PCM) + 低延迟网格 + TSDF 语义网格 · MIT SPARK Lab · ICRA 2020"
      },
      {
        "date": "2026-10-03",
        "index": 400,
        "title": "Genesis: A Generative and Universal Physics Engine for Robotics and Beyond",
        "folder": "papers/11_Simulation_Benchmark/Genesis__A_Generative_and_Universal_Physics_Engine_for_Robotics_and_Beyond",
        "module": "11_Simulation_Benchmark",
        "arxiv": "",
        "project_page": "https://genesis-embodied-ai.github.io/",
        "code": "https://github.com/Genesis-Embodied-AI/genesis-world (Python，Apache-2.0；编译器 Quadrants、渲染器 genesis-nyx 分仓)",
        "source": "✅ 已开源(含源码运行时序图) · 无 arXiv 论文，依据 GitHub 仓库与 Genesis World 1.0 博客 · 多物理 GPU 仿真 + 跨后端编译器 + 路径追踪渲染 + 仿真评测"
      },
      {
        "date": "2026-10-04",
        "index": 421,
        "title": "A Framework for Optimal Ankle Design of Humanoid Robots",
        "folder": "papers/12_Hardware_Design/Framework_for_Optimal_Ankle_Design_of_Humanoid_Robots",
        "module": "12_Hardware_Design",
        "arxiv": "2509.16469",
        "project_page": "",
        "code": "",
        "source": "❌ 未开源（Grasshopper + Python + Tunny/NSGA-II 实现）· 并联踝 SPU/RSU 闭式 IK + RSU 重参数化 + 多目标优化 + 七指标标量代价 · IIT · Humanoids 2025"
      },
      {
        "date": "2026-10-05",
        "index": 456,
        "title": "RL from Physical Feedback: Aligning Large Motion Models with Humanoid Control",
        "folder": "papers/13_Physics-Based_Animation/RLPF__RL_from_Physical_Feedback_Aligning_Large_Motion_Models_with_Humanoid_Control",
        "module": "13_Physics-Based_Animation",
        "arxiv": "2506.12769",
        "project_page": "https://beingbeyond.github.io/RLPF/",
        "code": "https://github.com/BeingBeyond/RLPF（仅 README，代码未放出）",
        "source": "⏳ 暂未开源(故无源码时序图) · 物理反馈奖励(冻结 ExBody2 式跟踪策略二值成功) + TA/MA 语义对齐 + GRPO 微调 LLaMA2-7B T2M · 北大 / BeingBeyond"
      },
      {
        "date": "2026-10-06",
        "index": 86,
        "title": "Thor: Towards Human-Inspired Whole-Body Reactions for Intense Contact-Rich Environments",
        "folder": "papers/04_Loco-Manipulation_and_WBC/Thor__Towards_Human-Inspired_Whole-Body_Reactions_for_Intense_Contact-Rich_Environments",
        "module": "04_Loco-Manipulation_and_WBC",
        "arxiv": "2510.26280",
        "project_page": "https://baai-aether.github.io/baai-thor/",
        "code": "项目主页标注 Code (Coming Soon)，暂未开源",
        "source": "⏳ 暂未开源(故无源码时序图) · 下肢/腰/上肢三策略分解 + FAT2 力自适应躯干倾斜奖励(准静态力矩平衡推出质心偏移参考) · Unitree G1 · BAAI / 北理工 / 清华 / XYZ Embodied AI"
      },
      {
        "date": "2026-10-08",
        "index": 203,
        "title": "Learning to Get Up Across Morphologies: Zero-Shot Recovery with a Unified Humanoid Policy",
        "folder": "papers/05_Locomotion/Learning_to_Get_Up_Across_Morphologies__Zero-Shot_Recovery_with_a_Unified_Humanoid_Policy",
        "module": "05_Locomotion",
        "arxiv": "2512.12230",
        "project_page": "",
        "code": "https://github.com/utra-robosoccer/unified-humanoid-getup",
        "source": "✅ 已开源(含源码时序图) · 5 个左右镜像俯仰关节 + 无形态信息的 27 维观测 + 每回合随机换机器人的 CrossQ 共享起身策略 · 7 款 RoboCup KidSize 人形 · MuJoCo · 多伦多大学 UTRA"
      },
      {
        "date": "2026-10-09",
        "index": 593,
        "title": "Immiscible Diffusion Policy: Preserving Multimodal Robot Actions through Label-Free Noise Assignment",
        "folder": "papers/06_Manipulation/Immiscible_Diffusion_Policy__Preserving_Multimodal_Robot_Actions_through_Label-Free_Noise_Assignment",
        "module": "06_Manipulation",
        "arxiv": "2610.09369",
        "project_page": "",
        "code": "论文未给出代码链接，暂未开源；噪声分配算法沿用 https://github.com/yhli123/Immiscible-Diffusion",
        "source": "⏳ 暂未开源(故无源码时序图) · 训练热身后 batch 内标准化动作块与高斯噪声的匈牙利匹配，网络 / 损失 / 推理不变 · Diffusion Policy / DP3 · RoboTwin 2.0 + Unitree G1 · UC Berkeley / Princeton / UT Austin"
      },
      {
        "date": "2026-10-10",
        "index": 594,
        "title": "Beyond Retargeting: Low-Latency and Robust Humanoid Whole-Body Teleoperation with Learned Atomic Motion Primitives",
        "folder": "papers/07_Teleoperation/Beyond_Retargeting__Low-Latency_Robust_Humanoid_Whole-Body_Teleoperation_with_Atomic_Motion_Primitives",
        "module": "07_Teleoperation",
        "arxiv": "2610.07891",
        "project_page": "",
        "code": "论文未给出代码链接，暂未开源",
        "source": "⏳ 暂未开源(故无源码时序图) · 特权 MoE 教师蒸馏为免重定向码本学生，因子化类别码本(128×12)编码器—估计器匹配做 OOD 投影 · IsaacSim 训练 / MjLab 评测 · Unitree G1 · 港科大 / 浙大 / 腾讯 Robotics X / 湖南大学"
      },
      {
        "date": "2026-10-11",
        "index": 595,
        "title": "TAPNAV: Humanoid Navigation through Tactile Active Perception",
        "folder": "papers/08_Navigation/TAPNAV__Humanoid_Navigation_through_Tactile_Active_Perception",
        "module": "08_Navigation",
        "arxiv": "2610.10748",
        "project_page": "https://tapnav.github.io/TAPNAV-Project/",
        "code": "项目主页标注 Code coming soon，暂未开源",
        "source": "⏳ 暂未开源(故无源码时序图) · 触觉末端(SensX 160)主动探测 + 粒子滤波 SE(2) 信念 + 约束 A* + EIG 选探测动作 + 上下身解耦 RL 全身控制 · MuJoCo + Unitree G1 · Georgia Tech"
      }
    ],
    "last_completed_index": 588,
    "next_index": null
  },
  "papers": [
    {
      "title": "PPO: Proximal Policy Optimization",
      "arxiv": "",
      "folder": "papers/01_Foundational_RL/PPO_Proximal_Policy_Optimization",
      "note_file": "PPO_Proximal_Policy_Optimization.md",
      "pdf_file": "PPO.pdf",
      "status": "done",
      "start_date": "2026-03-16",
      "done_date": "2026-03-22",
      "route": "基础RL",
      "title_cn": "近端策略优化"
    },
    {
      "title": "AWR: Advantage Weighted Regression",
      "arxiv": "",
      "folder": "papers/01_Foundational_RL/AWR_Advantage_Weighted_Regression",
      "note_file": "AWR_Advantage_Weighted_Regression.md",
      "pdf_file": "AWR.pdf",
      "status": "done",
      "start_date": null,
      "done_date": "2026-03-22",
      "route": "基础RL",
      "title_cn": "优势加权回归"
    },
    {
      "title": "DeepMimic: Example-Guided Deep RL of Physics-Based Character Skills",
      "arxiv": "",
      "folder": "papers/01_Foundational_RL/DeepMimic_Example-Guided_Deep_RL_of_Physics-Based_Character_Skills",
      "note_file": "DeepMimic_Example-Guided_Deep_RL_of_Physics-Based_Character_Skills.md",
      "pdf_file": "DeepMimic.pdf",
      "status": "done",
      "start_date": null,
      "done_date": "2026-03-23",
      "route": "精确模仿",
      "title_cn": "深度模仿：基于示例引导的物理角色技能深度强化学习"
    },
    {
      "title": "AMP: Adversarial Motion Priors for Stylized Physics-Based Character Control",
      "arxiv": "",
      "folder": "papers/01_Foundational_RL/AMP_Adversarial_Motion_Priors_for_Stylized_Physics-Based_Character_Control",
      "note_file": "AMP_Adversarial_Motion_Priors_for_Stylized_Physics-Based_Character_Control.md",
      "pdf_file": "AMP.pdf",
      "status": "done",
      "start_date": "2026-03-23",
      "done_date": "2026-04-19",
      "route": "风格学习",
      "title_cn": "对抗运动先验：风格化物理角色控制"
    },
    {
      "title": "PHC: Perpetual Humanoid Control for Real-time Simulated Avatars",
      "arxiv": "",
      "folder": "papers/01_Foundational_RL/PHC_Perpetual_Humanoid_Control",
      "note_file": "PHC_Perpetual_Humanoid_Control.md",
      "pdf_file": "PHC.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "精确模仿",
      "title_cn": "持续人形控制：实时仿真虚拟角色"
    },
    {
      "title": "ADD: Adversarial Disentanglement and Distillation",
      "arxiv": "",
      "folder": "papers/01_Foundational_RL/ADD_Adversarial_Differential_Discriminators",
      "note_file": "ADD_Adversarial_Differential_Discriminators.md",
      "pdf_file": "ADD.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "风格学习",
      "title_cn": "对抗解耦与蒸馏"
    },
    {
      "title": "MimicKit: A Reinforcement Learning Framework for Motion Imitation and Control",
      "arxiv": "https://arxiv.org/abs/2510.13794",
      "folder": "papers/01_Foundational_RL/MimicKit_A_Reinforcement_Learning_Framework_for_Motion_Imitation_and_Control",
      "note_file": "MimicKit_A_Reinforcement_Learning_Framework_for_Motion_Imitation_and_Control.md",
      "pdf_file": "MimicKit.pdf",
      "status": "done",
      "start_date": "2026-04-24",
      "done_date": "2026-04-24",
      "route": "工程框架",
      "title_cn": "MimicKit：运动模仿与控制的强化学习框架"
    },
    {
      "title": "ASE: Adversarial Skill Embeddings for Large-Scale Motion Control",
      "arxiv": "",
      "folder": "papers/01_Foundational_RL/ASE_Adversarial_Skill_Embeddings_for_Large-Scale_Motion_Control",
      "note_file": "ASE_Adversarial_Skill_Embeddings_for_Large-Scale_Motion_Control.md",
      "pdf_file": "ASE.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "技能组合",
      "title_cn": "对抗技能嵌入：大规模运动控制"
    },
    {
      "title": "CALM: Conditional Adversarial Latent Models for Directable Virtual Characters",
      "arxiv": "",
      "folder": "papers/01_Foundational_RL/CALM_Conditional_Adversarial_Latent_Models_for_Directable_Virtual_Characters",
      "note_file": "CALM_Conditional_Adversarial_Latent_Models_for_Directable_Virtual_Characters.md",
      "pdf_file": "CALM.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "技能组合",
      "title_cn": "条件对抗潜变量模型：可控虚拟角色"
    },
    {
      "title": "PULSE: Physically Plausible Universal Latent Skill Extraction",
      "arxiv": "",
      "folder": "papers/01_Foundational_RL/PULSE_Physics-based_Universal_Latent_Space",
      "note_file": "PULSE_Physics-based_Universal_Latent_Space.md",
      "pdf_file": "PULSE.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "技能组合",
      "title_cn": "物理可行的通用潜在技能提取"
    },
    {
      "title": "Diffusion Policy: Visuomotor Policy Learning via Action Diffusion",
      "arxiv": "",
      "folder": "papers/01_Foundational_RL/Diffusion_Policy",
      "note_file": "Diffusion_Policy.md",
      "pdf_file": "Diffusion.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "扩散+控制",
      "title_cn": "扩散策略：基于动作扩散的视觉运动策略学习"
    },
    {
      "title": "BeyondMimic: From Motion Tracking to Versatile Humanoid Control via Guided Diffusion",
      "arxiv": "",
      "folder": "papers/01_Foundational_RL/BeyondMimic",
      "note_file": "BeyondMimic.md",
      "pdf_file": "BeyondMimic.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "扩散+控制",
      "title_cn": "超越模仿：从运动跟踪到引导扩散的多功能人形控制"
    },
    {
      "title": "Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World",
      "arxiv": "",
      "folder": "papers/01_Foundational_RL/Domain_Randomization_for_Transferring_Deep_Neural_Networks_from_Simulation_to_the_Real_World",
      "note_file": "Domain_Randomization_for_Transferring_Deep_Neural_Networks_from_Simulation_to_the_Real_World.md",
      "pdf_file": "Domain.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Sim-to-Real",
      "title_cn": "域随机化：从仿真到真实世界的深度神经网络迁移"
    },
    {
      "title": "LCP: Sim-to-Real Action Smoothing",
      "arxiv": "https://arxiv.org/abs/2410.11825",
      "folder": "papers/01_Foundational_RL/LCP_Sim-to-Real_Action_Smoothing",
      "note_file": "LCP_Sim-to-Real_Action_Smoothing.md",
      "pdf_file": "LCP.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "基础RL",
      "title_cn": "LCP：仿真到真实的动作平滑"
    },
    {
      "title": "LATENT: Learning Athletic Humanoid Tennis Skills from Imperfect Human Motion Data",
      "arxiv": "https://arxiv.org/abs/2603.12686",
      "folder": "papers/04_Loco-Manipulation_and_WBC/LATENT__Learning_Athletic_Humanoid_Tennis_Skills_from_Imperfect_Human_Motion_Dat",
      "note_file": "LATENT__Learning_Athletic_Humanoid_Tennis_Skills_from_Imperfect_Human_Motion_Dat.md",
      "pdf_file": "LATENT.pdf",
      "status": "done",
      "start_date": "2026-04-24",
      "done_date": "2026-04-24",
      "route": "Loco-Manipulation",
      "title_cn": "LATENT：从不完美的人类动作数据中学习人形机器人网球运动技能"
    },
    {
      "title": "Ψ₀: An Open Foundation Model Towards Universal Humanoid Loco-Manipulation",
      "arxiv": "",
      "folder": "papers/04_Loco-Manipulation_and_WBC/Ψ₀__An_Open_Foundation_Model_Towards_Universal_Humanoid_Loco-Manipulation",
      "note_file": "Ψ₀__An_Open_Foundation_Model_Towards_Universal_Humanoid_Loco-Manipulation.md",
      "pdf_file": "Ψ₀.pdf",
      "status": "done",
      "start_date": null,
      "done_date": "2026-04-25",
      "route": "Loco-Manipulation",
      "title_cn": "Ψ₀：迈向通用人形机器人 Loco-Manipulation 的开源基础模型"
    },
    {
      "title": "SteadyTray: Learning Object Balancing Tasks in Humanoid Tray Transport via Residual RL",
      "arxiv": "2603.10306",
      "folder": "papers/04_Loco-Manipulation_and_WBC/SteadyTray__Learning_Object_Balancing_Tasks_in_Humanoid_Tray_Transport_via_Resid",
      "note_file": "SteadyTray__Learning_Object_Balancing_Tasks_in_Humanoid_Tray_Transport_via_Resid.md",
      "pdf_file": "SteadyTray.pdf",
      "status": "done",
      "start_date": null,
      "done_date": "2026-04-25",
      "route": "Loco-Manipulation",
      "title_cn": "SteadyTray：用残差强化学习教人形机器人端着托盘稳稳走路"
    },
    {
      "title": "ZeroWBC: Learning Natural Visuomotor Humanoid Control from Egocentric Video",
      "arxiv": "2603.09170",
      "folder": "papers/04_Loco-Manipulation_and_WBC/ZeroWBC__Learning_Natural_Visuomotor_Humanoid_Control_from_Egocentric_Video",
      "note_file": "ZeroWBC__Learning_Natural_Visuomotor_Humanoid_Control_from_Egocentric_Video.md",
      "pdf_file": "ZeroWBC.pdf",
      "status": "done",
      "start_date": null,
      "done_date": "2026-04-26",
      "route": "Loco-Manipulation",
      "title_cn": "ZeroWBC：直接从人类第一人称视频中学出零遥操作的人形视触运动控制"
    },
    {
      "title": "Embedding Classical Balance Control Principles in RL for Humanoid Recovery",
      "arxiv": "https://arxiv.org/abs/2603.08619",
      "folder": "papers/04_Loco-Manipulation_and_WBC/Embedding_Classical_Balance_Control_Principles_in_RL_for_Humanoid_Recovery",
      "note_file": "Embedding_Classical_Balance_Control_Principles_in_RL_for_Humanoid_Recovery.md",
      "pdf_file": "Embedding.pdf",
      "status": "done",
      "start_date": "2026-04-28",
      "done_date": "2026-04-28",
      "route": "Loco-Manipulation",
      "title_cn": "将经典平衡控制原理嵌入强化学习：用于人形机器人跌倒恢复"
    },
    {
      "title": "ULTRA: Unified Multimodal Control for Autonomous Humanoid Whole-Body Loco-Manipulation",
      "arxiv": "",
      "folder": "papers/04_Loco-Manipulation_and_WBC/ULTRA_Unified_Multimodal_Control_for_Autonomous_Humanoid_Whole-Body_Loco-Manipulation",
      "note_file": "ULTRA_Unified_Multimodal_Control_for_Autonomous_Humanoid_Whole-Body_Loco-Manipulation.md",
      "pdf_file": "ULTRA.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "OmniXtreme: Breaking the Generality Barrier in High-Dynamic Humanoid Control",
      "arxiv": "",
      "folder": "papers/04_Loco-Manipulation_and_WBC/OmniXtreme_Breaking_the_Generality_Barrier_in_High-Dynamic_Humanoid_Control",
      "note_file": "OmniXtreme_Breaking_the_Generality_Barrier_in_High-Dynamic_Humanoid_Control.md",
      "pdf_file": "OmniXtreme.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "LessMimic: Long-Horizon Humanoid Interaction with Unified Distance Field Representations",
      "arxiv": "",
      "folder": "papers/04_Loco-Manipulation_and_WBC/LessMimic_Long-Horizon_Humanoid_Interaction_with_Unified_Distance_Field_Representations",
      "note_file": "LessMimic_Long-Horizon_Humanoid_Interaction_with_Unified_Distance_Field_Representations.md",
      "pdf_file": "LessMimic.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "Learning Humanoid End-Effector Control for Open-Vocabulary Visual Loco-Manipulation",
      "arxiv": "",
      "folder": "papers/04_Loco-Manipulation_and_WBC/Learning_Humanoid_End-Effector_Control_for_Open-Vocabulary_Visual_Loco-Manipulation",
      "note_file": "Learning_Humanoid_End-Effector_Control_for_Open-Vocabulary_Visual_Loco-Manipulation.md",
      "pdf_file": "Learning.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "VIGOR: Visual Goal-In-Context Inference for Unified Humanoid Fall Safety",
      "arxiv": "",
      "folder": "papers/04_Loco-Manipulation_and_WBC/VIGOR_Visual_Goal-In-Context_Inference_for_Unified_Humanoid_Fall_Safety",
      "note_file": "VIGOR_Visual_Goal-In-Context_Inference_for_Unified_Humanoid_Fall_Safety.md",
      "pdf_file": "VIGOR.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "Perceptive Humanoid Parkour: Chaining Dynamic Human Skills via Motion Matching",
      "arxiv": "Perceptive Humanoid Parkour: Chaining Dynamic Human Skills via Motion Matching",
      "folder": "papers/04_Loco-Manipulation_and_WBC/Perceptive_Humanoid_Parkour__Chaining_Dynamic_Human_Skills_via_Motion_Matching",
      "note_file": "Perceptive_Humanoid_Parkour__Chaining_Dynamic_Human_Skills_via_Motion_Matching.md",
      "pdf_file": "Perceptive.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "MeshMimic: Geometry-Aware Humanoid Motion Learning through 3D Scene Reconstruction",
      "arxiv": "https://arxiv.org/abs/2602.15733",
      "folder": "papers/04_Loco-Manipulation_and_WBC/MeshMimic__Geometry-Aware_Humanoid_Motion_Learning_through_3D_Scene_Reconstructi",
      "note_file": "MeshMimic__Geometry-Aware_Humanoid_Motion_Learning_through_3D_Scene_Reconstructi.md",
      "pdf_file": "MeshMimic.pdf",
      "status": "done",
      "start_date": null,
      "done_date": "2026-04-29",
      "route": "Loco-Manipulation",
      "title_cn": "MeshMimic：通过三维场景重建实现几何感知的人形机器人运动学习"
    },
    {
      "title": "General Humanoid Whole-Body Control via Pretraining and Fast Adaptation",
      "arxiv": "https://arxiv.org/abs/2602.11929",
      "folder": "papers/04_Loco-Manipulation_and_WBC/General_Humanoid_Whole-Body_Control_via_Pretraining_and_Fast_Adaptation",
      "note_file": "General_Humanoid_Whole-Body_Control_via_Pretraining_and_Fast_Adaptation.md",
      "pdf_file": "General.pdf",
      "status": "done",
      "start_date": null,
      "done_date": "2026-04-29",
      "route": "Loco-Manipulation",
      "title_cn": "FAST：通过预训练与快速适应实现通用人形机器人全身控制"
    },
    {
      "title": "HAIC: Humanoid Agile Object Interaction Control via Dynamics-Aware World Model",
      "arxiv": "https://arxiv.org/abs/2602.11758",
      "folder": "papers/04_Loco-Manipulation_and_WBC/HAIC__Humanoid_Agile_Object_Interaction_Control_via_Dynamics-Aware_World_Model",
      "note_file": "HAIC__Humanoid_Agile_Object_Interaction_Control_via_Dynamics-Aware_World_Model.md",
      "pdf_file": "HAIC.pdf",
      "status": "done",
      "start_date": null,
      "done_date": "2026-04-29",
      "route": "Loco-Manipulation",
      "title_cn": "HAIC：通过动力学感知世界模型实现人形机器人敏捷物体交互控制"
    },
    {
      "title": "EgoHumanoid: Unlocking In-the-Wild Loco-Manipulation with Robot-Free Egocentric Demonstration",
      "arxiv": "EgoHumanoid: Unlocking In-the-Wild Loco-Manipulation with Robot-Free Egocentric Demonstration",
      "folder": "papers/04_Loco-Manipulation_and_WBC/EgoHumanoid__Unlocking_In-the-Wild_Loco-Manipulation_with_Robot-Free_Egocentric_",
      "note_file": "EgoHumanoid__Unlocking_In-the-Wild_Loco-Manipulation_with_Robot-Free_Egocentric_.md",
      "pdf_file": "EgoHumanoid.pdf",
      "status": "done",
      "start_date": null,
      "done_date": "2026-04-29",
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "MOSAIC: Bridging the Sim-to-Real Gap in Generalist Humanoid Motion Tracking and Teleoperation with Rapid Residual Adaptation",
      "arxiv": "MOSAIC: Bridging the Sim-to-Real Gap in Generalist Humanoid Motion Tracking and Teleoperation with Rapid Residual Adaptation",
      "folder": "papers/10_Sim-to-Real/MOSAIC__Bridging_the_Sim-to-Real_Gap_in_Generalist_Humanoid_Motion_Tracking",
      "note_file": "MOSAIC__Bridging_the_Sim-to-Real_Gap_in_Generalist_Humanoid_Motion_Tracking.md",
      "pdf_file": "MOSAIC.pdf",
      "status": "done",
      "start_date": null,
      "done_date": "2026-05-01",
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "Learning Human-Like Badminton Skills for Humanoid Robots",
      "arxiv": "Learning Human-Like Badminton Skills for Humanoid Robots",
      "folder": "papers/04_Loco-Manipulation_and_WBC/Learning_Human-Like_Badminton_Skills_for_Humanoid_Robots",
      "note_file": "Learning_Human-Like_Badminton_Skills_for_Humanoid_Robots.md",
      "pdf_file": "Learning.pdf",
      "status": "done",
      "start_date": null,
      "done_date": "2026-05-02",
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "TextOp: Real-time Interactive Text-Driven Humanoid Robot Motion Generation and Control",
      "arxiv": "TextOp: Real-time Interactive Text-Driven Humanoid Robot Motion Generation and Control",
      "folder": "papers/04_Loco-Manipulation_and_WBC/TextOp__Real-time_Interactive_Text-Driven_Humanoid_Robot_Motion_Generation_and_C",
      "note_file": "TextOp__Real-time_Interactive_Text-Driven_Humanoid_Robot_Motion_Generation_and_C.md",
      "pdf_file": "TextOp.pdf",
      "status": "done",
      "start_date": null,
      "done_date": "2026-05-03",
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "Humanoid Manipulation Interface: Humanoid Whole-Body Manipulation from Robot-Free Demonstrations",
      "arxiv": "Humanoid Manipulation Interface: Humanoid Whole-Body Manipulation from Robot-Free Demonstrations",
      "folder": "papers/04_Loco-Manipulation_and_WBC/Humanoid_Manipulation_Interface__Humanoid_Whole-Body_Manipulation_from_Robot-Fre",
      "note_file": "Humanoid_Manipulation_Interface__Humanoid_Whole-Body_Manipulation_from_Robot-Fre.md",
      "pdf_file": "Humanoid.pdf",
      "status": "done",
      "start_date": null,
      "done_date": "2026-05-04",
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "HiWET: Hierarchical World-Frame End-Effector Tracking for Long-Horizon Humanoid Loco-Manipulation",
      "arxiv": "HiWET: Hierarchical World-Frame End-Effector Tracking for Long-Horizon Humanoid Loco-Manipulation",
      "folder": "papers/04_Loco-Manipulation_and_WBC/HiWET__Hierarchical_World-Frame_End-Effector_Tracking_for_Long-Horizon_Humanoid_Loco-Manipulation",
      "note_file": "HiWET__Hierarchical_World-Frame_End-Effector_Tracking_for_Long-Horizon_Humanoid_Loco-Manipulation.md",
      "pdf_file": "HiWET.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "Learning Soccer Skills for Humanoid Robots:   A Progressive Perception-Action Framework",
      "arxiv": "https://arxiv.org/abs/2602.05310",
      "folder": "papers/04_Loco-Manipulation_and_WBC/Learning_Soccer_Skills_for_Humanoid_Robots____A_Progressive_Perception-Action_Fr",
      "note_file": "Learning_Soccer_Skills_for_Humanoid_Robots____A_Progressive_Perception-Action_Fr.md",
      "pdf_file": "Learning.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "PDF-HR: Pose Distance Fields for Humanoid Robots",
      "arxiv": "https://arxiv.org/abs/2602.04851",
      "folder": "papers/04_Loco-Manipulation_and_WBC/PDF-HR__Pose_Distance_Fields_for_Humanoid_Robots",
      "note_file": "PDF-HR__Pose_Distance_Fields_for_Humanoid_Robots.md",
      "pdf_file": "PDF-HR.pdf",
      "status": "done",
      "start_date": "2026-05-06",
      "done_date": "2026-05-06",
      "route": "Loco-Manipulation",
      "title_cn": "PDF-HR：面向人形机器人的姿态距离场先验"
    },
    {
      "title": "HUSKY: Humanoid Skateboarding System via Physics-Aware Whole-Body Control",
      "arxiv": "https://arxiv.org/abs/2602.03205",
      "folder": "papers/04_Loco-Manipulation_and_WBC/HUSKY__Humanoid_Skateboarding_System_via_Physics-Aware_Whole-Body_Control",
      "note_file": "HUSKY__Humanoid_Skateboarding_System_via_Physics-Aware_Whole-Body_Control.md",
      "pdf_file": "HUSKY.pdf",
      "status": "done",
      "start_date": "2026-05-07",
      "done_date": "2026-05-07",
      "route": "Loco-Manipulation",
      "title_cn": "HUSKY：基于物理感知全身控制的人形滑板系统"
    },
    {
      "title": "Embodiment-Aware Generalist Specialist Distillation for Unified Humanoid Whole-Body Control",
      "arxiv": "Embodiment-Aware Generalist Specialist Distillation for Unified Humanoid Whole-Body Control",
      "folder": "papers/04_Loco-Manipulation_and_WBC/Embodiment-Aware_Generalist_Specialist_Distillation_for_Unified_Humanoid_Whole-B",
      "note_file": "Embodiment-Aware_Generalist_Specialist_Distillation_for_Unified_Humanoid_Whole-B.md",
      "pdf_file": "Embodiment-Aware.pdf",
      "status": "done",
      "start_date": "2026-05-08",
      "done_date": "2026-05-08",
      "route": "Loco-Manipulation",
      "title_cn": "EAGLE：面向跨本体人形全身控制的泛化-专家迭代蒸馏"
    },
    {
      "title": "HumanX: Toward Agile and Generalizable Humanoid Interaction Skills from Human Videos",
      "arxiv": "2602.02473",
      "folder": "papers/04_Loco-Manipulation_and_WBC/HumanX__Toward_Agile_and_Generalizable_Humanoid_Interaction_Skills_from_Human_Vi",
      "note_file": "HumanX__Toward_Agile_and_Generalizable_Humanoid_Interaction_Skills_from_Human_Vi.md",
      "pdf_file": "HumanX.pdf",
      "status": "done",
      "start_date": "2026-05-09",
      "done_date": "2026-05-09",
      "route": "Loco-Manipulation",
      "title_cn": "从人类视频学习敏捷且可泛化的人形交互技能"
    },
    {
      "title": "TTT-Parkour: Rapid Test-Time Training for Perceptive Robot Parkour",
      "arxiv": "https://arxiv.org/abs/2602.02331",
      "folder": "papers/04_Loco-Manipulation_and_WBC/TTT-Parkour__Rapid_Test-Time_Training_for_Perceptive_Robot_Parkour",
      "note_file": "TTT-Parkour__Rapid_Test-Time_Training_for_Perceptive_Robot_Parkour.md",
      "pdf_file": "TTT-Parkour.pdf",
      "status": "done",
      "start_date": "2026-05-13",
      "done_date": "2026-05-13",
      "route": "Loco-Manipulation",
      "title_cn": "TTT-Parkour：用快速测试时训练让人形跑酷适应未见地形"
    },
    {
      "title": "ZEST: Zero-shot Embodied Skill Transfer for Athletic Robot Control",
      "arxiv": "https://arxiv.org/abs/2602.00401",
      "folder": "papers/04_Loco-Manipulation_and_WBC/ZEST__Zero-shot_Embodied_Skill_Transfer_for_Athletic_Robot_Control",
      "note_file": "ZEST__Zero-shot_Embodied_Skill_Transfer_for_Athletic_Robot_Control.md",
      "pdf_file": "ZEST.pdf",
      "status": "done",
      "start_date": "2026-05-14",
      "done_date": "2026-05-14",
      "route": "Loco-Manipulation",
      "title_cn": "ZEST：动捕/视频/动画一锅炖，跨形态零样本迁移到 Atlas、G1、Spot"
    },
    {
      "title": "Robust and Generalized Humanoid Motion Tracking",
      "arxiv": "Robust and Generalized Humanoid Motion Tracking",
      "folder": "papers/04_Loco-Manipulation_and_WBC/Robust_and_Generalized_Humanoid_Motion_Tracking",
      "note_file": "Robust_and_Generalized_Humanoid_Motion_Tracking.md",
      "pdf_file": "Robust.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "RoboStriker: Hierarchical Decision-Making for Autonomous Humanoid Boxing",
      "arxiv": "2601.22517",
      "folder": "papers/04_Loco-Manipulation_and_WBC/RoboStriker__Hierarchical_Decision-Making_for_Autonomous_Humanoid_Boxing",
      "note_file": "RoboStriker__Hierarchical_Decision-Making_for_Autonomous_Humanoid_Boxing.md",
      "pdf_file": "RoboStriker.pdf",
      "status": "done",
      "start_date": "2026-05-22",
      "done_date": "2026-05-22",
      "route": "Loco-Manipulation",
      "title_cn": "RoboStriker：用潜空间神经虚拟自博弈实现自主人形拳击对抗"
    },
    {
      "title": "PILOT: A Perceptive Integrated Low-level Controller for Loco-manipulation over Unstructured Scenes",
      "arxiv": "2601.17440",
      "folder": "papers/04_Loco-Manipulation_and_WBC/PILOT__A_Perceptive_Integrated_Low-level_Controller_for_Loco-manipulation",
      "note_file": "PILOT__A_Perceptive_Integrated_Low-level_Controller_for_Loco-manipulation.md",
      "pdf_file": "PILOT.pdf",
      "status": "done",
      "start_date": "2026-06-02",
      "done_date": "2026-06-02",
      "route": "Loco-Manipulation",
      "title_cn": "PILOT：在非结构化场景中实现感知-动作一体化的人形 Loco-Manipulation 底层控制器"
    },
    {
      "title": "Collision-Free Humanoid Traversal in Cluttered Indoor Scenes",
      "arxiv": "Collision-Free Humanoid Traversal in Cluttered Indoor Scenes",
      "folder": "papers/04_Loco-Manipulation_and_WBC/Collision-Free_Humanoid_Traversal_in_Cluttered_Indoor_Scenes",
      "note_file": "Collision-Free_Humanoid_Traversal_in_Cluttered_Indoor_Scenes.md",
      "pdf_file": "Collision-Free.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "FRoM-W1: Towards General Humanoid Whole-Body Control with Language Instructions",
      "arxiv": "FRoM-W1: Towards General Humanoid Whole-Body Control with Language Instructions",
      "folder": "papers/04_Loco-Manipulation_and_WBC/FRoM-W1__Towards_General_Humanoid_Whole-Body_Control_with_Language_Instructions",
      "note_file": "FRoM-W1__Towards_General_Humanoid_Whole-Body_Control_with_Language_Instructions.md",
      "pdf_file": "FRoM-W1.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "Learning Whole-Body Human-Humanoid Interaction from Human-Human Demonstrations",
      "arxiv": "Learning Whole-Body Human-Humanoid Interaction from Human-Human Demonstrations",
      "folder": "papers/04_Loco-Manipulation_and_WBC/Learning_Whole-Body_Human-Humanoid_Interaction_from_Human-Human_Demonstrations",
      "note_file": "Learning_Whole-Body_Human-Humanoid_Interaction_from_Human-Human_Demonstrations.md",
      "pdf_file": "Learning.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "Hiking in the Wild: A Scalable Perceptive Parkour Framework for Humanoids",
      "arxiv": "Hiking in the Wild: A Scalable Perceptive Parkour Framework for Humanoids",
      "folder": "papers/04_Loco-Manipulation_and_WBC/Hiking_in_the_Wild__A_Scalable_Perceptive_Parkour_Framework_for_Humanoids",
      "note_file": "Hiking_in_the_Wild__A_Scalable_Perceptive_Parkour_Framework_for_Humanoids.md",
      "pdf_file": "Hiking.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "Deep Whole-body Parkour",
      "arxiv": "Deep Whole-body Parkour",
      "folder": "papers/04_Loco-Manipulation_and_WBC/Deep_Whole-body_Parkour",
      "note_file": "Deep_Whole-body_Parkour.md",
      "pdf_file": "Deep.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "Coordinated Humanoid Manipulation with Choice Policies",
      "arxiv": "Coordinated Humanoid Manipulation with Choice Policies",
      "folder": "papers/04_Loco-Manipulation_and_WBC/Coordinated_Humanoid_Manipulation_with_Choice_Policies",
      "note_file": "Coordinated_Humanoid_Manipulation_with_Choice_Policies.md",
      "pdf_file": "Coordinated.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "UniAct: Unified Motion Generation and Action Streaming for Humanoid Robots",
      "arxiv": "UniAct: Unified Motion Generation and Action Streaming for Humanoid Robots",
      "folder": "papers/04_Loco-Manipulation_and_WBC/UniAct__Unified_Motion_Generation_and_Action_Streaming_for_Humanoid_Robots",
      "note_file": "UniAct__Unified_Motion_Generation_and_Action_Streaming_for_Humanoid_Robots.md",
      "pdf_file": "UniAct.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "EGM: Efficiently Learning General Motion Tracking Policy for High Dynamic Humanoid Whole-Body Control",
      "arxiv": "EGM: Efficiently Learning General Motion Tracking Policy for High Dynamic Humanoid Whole-Body Control",
      "folder": "papers/04_Loco-Manipulation_and_WBC/EGM__Efficiently_Learning_General_Motion_Tracking_for_High_Dynamic_Humanoid_WBC",
      "note_file": "EGM__Efficiently_Learning_General_Motion_Tracking_for_High_Dynamic_Humanoid_WBC.md",
      "pdf_file": "EGM.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "Semantic Co-Speech Gesture Synthesis and Real-Time Control for Humanoid Robots",
      "arxiv": "https://arxiv.org/abs/2512.17183",
      "folder": "papers/04_Loco-Manipulation_and_WBC/Semantic_Co-Speech_Gesture_Synthesis_and_Real-Time_Control_for_Humanoid_Robots",
      "note_file": "Semantic_Co-Speech_Gesture_Synthesis_and_Real-Time_Control_for_Humanoid_Robots.md",
      "pdf_file": "Semantic.pdf",
      "status": "done",
      "start_date": "2026-05-19",
      "done_date": "2026-05-19",
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "CHIP: Adaptive Compliance for Humanoid Control through Hindsight Perturbation",
      "arxiv": "CHIP: Adaptive Compliance for Humanoid Control through Hindsight Perturbation",
      "folder": "papers/04_Loco-Manipulation_and_WBC/CHIP__Adaptive_Compliance_for_Humanoid_Control_through_Hindsight_Perturbation",
      "note_file": "CHIP__Adaptive_Compliance_for_Humanoid_Control_through_Hindsight_Perturbation.md",
      "pdf_file": "CHIP.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "PvP: Data-Efficient Humanoid Robot Learning with Proprioceptive-Privileged Contrastive Representations",
      "arxiv": "2512.13093",
      "folder": "papers/04_Loco-Manipulation_and_WBC/PvP__Data-Efficient_Humanoid_Robot_Learning_with_Proprioceptive-Privileged_Contrastive",
      "note_file": "PvP__Data-Efficient_Humanoid_Robot_Learning_with_Proprioceptive-Privileged_Contrastive.md",
      "pdf_file": "",
      "status": "done",
      "start_date": null,
      "done_date": "2026-06-29",
      "route": "Loco-Manipulation and WBC",
      "title_cn": ""
    },
    {
      "title": "Learning Agile Striker Skills for Humanoid Soccer Robots from Noisy Sensory Input",
      "arxiv": "Learning Agile Striker Skills for Humanoid Soccer Robots from Noisy Sensory Input",
      "folder": "papers/04_Loco-Manipulation_and_WBC/Learning_Agile_Striker_Skills_for_Humanoid_Soccer_Robots_from_Noisy_Sensory_Input",
      "note_file": "Learning_Agile_Striker_Skills_for_Humanoid_Soccer_Robots_from_Noisy_Sensory_Input.md",
      "pdf_file": "Learning.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "Discovering Self-Protective Falling Policy for Humanoid Robot via Deep Reinforcement Learning",
      "arxiv": "Discovering Self-Protective Falling Policy for Humanoid Robot via Deep Reinforcement Learning",
      "folder": "papers/04_Loco-Manipulation_and_WBC/Discovering_Self-Protective_Falling_Policy_for_Humanoid_Robot_via_Deep_RL",
      "note_file": "Discovering_Self-Protective_Falling_Policy_for_Humanoid_Robot_via_Deep_RL.md",
      "pdf_file": "Discovering.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "Opening the Sim-to-Real Door for Humanoid Pixel-to-Action Policy Transfer",
      "arxiv": "Opening the Sim-to-Real Door for Humanoid Pixel-to-Action Policy Transfer",
      "folder": "papers/04_Loco-Manipulation_and_WBC/Opening_the_Sim-to-Real_Door_for_Humanoid_Pixel-to-Action_Policy_Transfer",
      "note_file": "Opening_the_Sim-to-Real_Door_for_Humanoid_Pixel-to-Action_Policy_Transfer.md",
      "pdf_file": "Opening.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "Commanding Humanoid by Free-form Language: A Large Language Action Model with Unified Motion Vocabulary",
      "arxiv": "Commanding Humanoid by Free-form Language: A Large Language Action Model with Unified Motion Vocabulary",
      "folder": "papers/04_Loco-Manipulation_and_WBC/Commanding_Humanoid_by_Free-form_Language__LLA_with_Unified_Motion_Vocabulary",
      "note_file": "Commanding_Humanoid_by_Free-form_Language__LLA_with_Unified_Motion_Vocabulary.md",
      "pdf_file": "Commanding.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "Kinematics-Aware Multi-Policy Reinforcement Learning for Force-Capable Humanoid Loco-Manipulation",
      "arxiv": "Kinematics-Aware Multi-Policy Reinforcement Learning for Force-Capable Humanoid Loco-Manipulation",
      "folder": "papers/04_Loco-Manipulation_and_WBC/Kinematics-Aware_Multi-Policy_RL_for_Force-Capable_Humanoid_Loco-Manipulation",
      "note_file": "Kinematics-Aware_Multi-Policy_RL_for_Force-Capable_Humanoid_Loco-Manipulation.md",
      "pdf_file": "Kinematics-Aware.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "HAFO: A Force-Adaptive Control Framework for Humanoid Robots in Intense Interaction Environments",
      "arxiv": "HAFO: A Force-Adaptive Control Framework for Humanoid Robots in Intense Interaction Environments",
      "folder": "papers/04_Loco-Manipulation_and_WBC/HAFO__A_Force-Adaptive_Control_Framework_for_Humanoid_Robots_in_Intense_Interact",
      "note_file": "HAFO__A_Force-Adaptive_Control_Framework_for_Humanoid_Robots_in_Intense_Interact.md",
      "pdf_file": "HAFO.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "SENTINEL: A Fully End-to-End Language-Action Model for Humanoid Whole Body Control",
      "arxiv": "SENTINEL: A Fully End-to-End Language-Action Model for Humanoid Whole Body Control",
      "folder": "papers/04_Loco-Manipulation_and_WBC/SENTINEL__A_Fully_End-to-End_Language-Action_Model_for_Humanoid_Whole_Body_Control",
      "note_file": "SENTINEL__A_Fully_End-to-End_Language-Action_Model_for_Humanoid_Whole_Body_Control.md",
      "pdf_file": "SENTINEL.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "SafeFall: Learning Protective Control for Humanoid Robots",
      "arxiv": "SafeFall: Learning Protective Control for Humanoid Robots",
      "folder": "papers/04_Loco-Manipulation_and_WBC/SafeFall__Learning_Protective_Control_for_Humanoid_Robots",
      "note_file": "SafeFall__Learning_Protective_Control_for_Humanoid_Robots.md",
      "pdf_file": "SafeFall.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "Agility Meets Stability: Versatile Humanoid Control with Heterogeneous Data",
      "arxiv": "Agility Meets Stability: Versatile Humanoid Control with Heterogeneous Data",
      "folder": "papers/04_Loco-Manipulation_and_WBC/Agility_Meets_Stability__Versatile_Humanoid_Control_with_Heterogeneous_Data",
      "note_file": "Agility_Meets_Stability__Versatile_Humanoid_Control_with_Heterogeneous_Data.md",
      "pdf_file": "Agility.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "VIRAL: Visual Sim-to-Real at Scale for Humanoid Loco-Manipulation",
      "arxiv": "VIRAL: Visual Sim-to-Real at Scale for Humanoid Loco-Manipulation",
      "folder": "papers/04_Loco-Manipulation_and_WBC/VIRAL__Visual_Sim-to-Real_at_Scale_for_Humanoid_Loco-Manipulation",
      "note_file": "VIRAL__Visual_Sim-to-Real_at_Scale_for_Humanoid_Loco-Manipulation.md",
      "pdf_file": "VIRAL.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "HMC: Learning Heterogeneous Meta-Control for Contact-Rich Loco-Manipulation",
      "arxiv": "HMC: Learning Heterogeneous Meta-Control for Contact-Rich Loco-Manipulation",
      "folder": "papers/04_Loco-Manipulation_and_WBC/HMC__Learning_Heterogeneous_Meta-Control_for_Contact-Rich_Loco-Manipulation",
      "note_file": "HMC__Learning_Heterogeneous_Meta-Control_for_Contact-Rich_Loco-Manipulation.md",
      "pdf_file": "HMC.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "Humanoid Whole-Body Badminton via Multi-Stage Reinforcement Learning",
      "arxiv": "Humanoid Whole-Body Badminton via Multi-Stage Reinforcement Learning",
      "folder": "papers/04_Loco-Manipulation_and_WBC/Humanoid_Whole-Body_Badminton_via_Multi-Stage_Reinforcement_Learning",
      "note_file": "Humanoid_Whole-Body_Badminton_via_Multi-Stage_Reinforcement_Learning.md",
      "pdf_file": "Humanoid.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "Robot Crash Course: Learning Soft and Stylized Falling",
      "arxiv": "Robot Crash Course: Learning Soft and Stylized Falling",
      "folder": "papers/04_Loco-Manipulation_and_WBC/Robot_Crash_Course__Learning_Soft_and_Stylized_Falling",
      "note_file": "Robot_Crash_Course__Learning_Soft_and_Stylized_Falling.md",
      "pdf_file": "Robot.pdf",
      "status": "done",
      "start_date": null,
      "done_date": null,
      "route": "Loco-Manipulation",
      "title_cn": ""
    },
    {
      "title": "Unveiling the Impact of Data and Model Scaling on High-Level Control for Humanoid Robots",
      "arxiv": "Unveiling the Impact of Data and Model Scaling on High-Level Control for Humanoid Robots",
      "folder": "papers/04_Loco-Manipulation_and_WBC/Unveiling_the_Impact_of_Data_and_Model_Scaling_on_High-Level_Control_for_Humanoid",
      "note_file": "Unveiling_the_Impact_of_Data_and_Model_Scaling_on_High-Level_Control_for_Humanoid.md",
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      "start_date": null,
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      "title": "TWIST2: Scalable, Portable, and Holistic Humanoid Data Collection System",
      "arxiv": "TWIST2: Scalable, Portable, and Holistic Humanoid Data Collection System",
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      "start_date": null,
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      "start_date": null,
      "done_date": "2026-10-06",
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    {
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      "start_date": "2026-05-17",
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      "title": "APEX: Learning Adaptive High-Platform Traversal for Humanoid Robots",
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      "title": "A Hybrid Autoencoder for Robust Heightmap Generation from Fused Lidar and Depth Data for Humanoid Robot Locomotion",
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      "title": "PolySim: Bridging the Sim-to-Real Gap for Humanoid Control via Multi-Simulator Dynamics Randomization",
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      "title": "Contrastive Representation Learning for Robust Sim-to-Real Transfer of Adaptive Humanoid Locomotion",
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      "status": "done",
      "arxiv": "",
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      "status": "done",
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      "title": "Quantum deep reinforcement learning for humanoid robot navigation task",
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      "status": "done",
      "arxiv": "",
      "pdf_file": "",
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      "arxiv": "",
      "pdf_file": "",
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      "title": "Generative World Modelling for Humanoids: 1X World Model Challenge Technical Report",
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      "arxiv": "",
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      "title_cn": ""
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      "title": "Learning to Ball: Composing Policies for Long-Horizon Basketball Moves",
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      "status": "done",
      "arxiv": "",
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      "title": "Control Operators for Interactive Character Animation",
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      "status": "done",
      "arxiv": "",
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      "arxiv": "",
      "pdf_file": "",
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      "title_cn": ""
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      "status": "done",
      "arxiv": "",
      "pdf_file": "",
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      "title_cn": ""
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      "status": "done",
      "arxiv": "",
      "pdf_file": "",
      "route": "Manipulation",
      "title_cn": ""
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      "title": "Development of an Intuitive GUI for Non-Expert Teleoperation of Humanoid Robots",
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      "status": "done",
      "arxiv": "",
      "pdf_file": "",
      "route": "Teleoperation",
      "title_cn": ""
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      "status": "done",
      "arxiv": "",
      "pdf_file": "",
      "route": "Navigation",
      "title_cn": ""
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      "title": "Adaptive Invariant Extended Kalman Filter for Legged Robot State Estimation",
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      "status": "done",
      "arxiv": "",
      "pdf_file": "",
      "route": "State Estimation",
      "title_cn": ""
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      "status": "done",
      "arxiv": "",
      "pdf_file": "",
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      "title_cn": ""
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      "title": "DIJIT: A Robotic Head for an Active Observer",
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      "title": "Physics-Based Motion Tracking of Contact-Rich Interacting Characters",
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      "title_cn": ""
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      "title": "Kimodo: Scaling Controllable Human Motion Generation",
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      "title": "CMR: Contractive Mapping Embeddings for Robust Humanoid Locomotion on Unstructured Terrains",
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      "arxiv": "",
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      "title": "Genie Sim 3.0: A High-Fidelity Comprehensive Simulation Platform for Humanoid Robot",
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      "status": "done",
      "arxiv": "",
      "pdf_file": "",
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      "title": "Learning Versatile Humanoid Manipulation with Touch Dreaming",
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      "status": "done",
      "arxiv": "",
      "pdf_file": "",
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      "title_cn": ""
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      "title": "Stability-Aware Retargeting for Humanoid Multi-Contact Teleoperation",
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      "status": "done",
      "arxiv": "",
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      "route": "Teleoperation",
      "title_cn": ""
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      "pdf_file": "",
      "route": "Navigation",
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      "title": "Learning Contact Representation for Leg Odometry",
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      "arxiv": "",
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      "title": "Sim-to-Real of Humanoid Locomotion Policies via Joint Torque Space Perturbation Injection",
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      "arxiv": "",
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      "title": "Humanoid Everyday: A Comprehensive Robotic Dataset for Open-World Humanoid Manipulation",
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      "status": "done",
      "arxiv": "2510.08807",
      "pdf_file": "",
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      "title": "X2-N: A Transformable Wheel-legged Humanoid Robot with Dual-mode Locomotion and Manipulation",
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      "status": "done",
      "arxiv": "2603.13228",
      "pdf_file": "",
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      "title_cn": "用偏好优化把文本生成的动作磨成物理可执行的人形动作"
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      "status": "done",
      "arxiv": "2605.11704",
      "pdf_file": "",
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      "status": "done",
      "arxiv": "2606.09215",
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      "title_cn": "用视频世界模型的中间去噪特征实时驱动人形全身移动操作"
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      "status": "done",
      "arxiv": "2602.03002",
      "pdf_file": "",
      "route": "行走运动",
      "title_cn": "特权地形专家蒸馏成多深度相机 Transformer 学生，配 DFSV/RSM 做带负载感知行走"
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      "title": "Visual-tactile pretraining and online multitask learning for humanlike manipulation dexterity",
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      "title_cn": "视触觉预训练 + 在线多任务学习：单目 RGB + 二值触觉让低成本 LEAP 手获得类人灵巧操作并跨任务泛化"
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      "title": "X-OP: Cross-Morphology Whole-Body Teleoperation via MPC Retargeting",
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      "status": "done",
      "arxiv": "2606.07934",
      "pdf_file": "",
      "route": "遥操作",
      "title_cn": "单台 Apple Vision Pro 驱动、跨形态免重训的分层全身遥操作：MPC 重定向器兼顾操作者意图与动力学可行性",
      "done_date": "2026-09-10",
      "start_date": "2026-09-10"
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      "title": "EgoNav: Learning Humanoid Navigation from Human Data",
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      "status": "done",
      "arxiv": "2604.00416",
      "pdf_file": "",
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      "title_cn": "只用 5 小时人类行走数据学一个具身无关的扩散导航先验，零样本迁移到 Unitree G1 真机长时自主行走"
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      "title": "Four Simple Proprioceptive Estimators for Legged Robots",
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      "title_cn": ""
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    {
      "title": "GAIT: Legged Robot Proprioceptive State Estimation with Attention over Inertial-Leg Tokens",
      "arxiv": "2606.14160",
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      "pdf_file": "",
      "status": "done",
      "start_date": "2026-07-04",
      "done_date": "2026-07-04",
      "route": "State Estimation",
      "title_cn": "GAIT：用「惯性-腿部」分词与注意力做足式机器人本体感知状态估计"
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    {
      "title": "Robot Trains Robot: Automatic Real-World Policy Adaptation and Learning for Humanoids",
      "folder": "papers/10_Sim-to-Real/Robot_Trains_Robot_Automatic_Real-World_Policy_Adaptation_and_Learning",
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      "status": "done",
      "arxiv": "",
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    {
      "title": "DexLink Hand: A Compact, Affordable, 16-DOF Linkage-Driven Hand with Human-Like Dexterity",
      "folder": "papers/12_Hardware_Design/DexLink_Hand__Compact_Affordable_16-DOF_Linkage-Driven_Hand",
      "note_file": "DexLink_Hand__Compact_Affordable_16-DOF_Linkage-Driven_Hand.md",
      "status": "done",
      "arxiv": "2606.17418",
      "pdf_file": "",
      "route": "Hardware Design",
      "title_cn": "DexLink Hand：紧凑、低成本、16 自由度连杆驱动拟人灵巧手",
      "done_date": "2026-06-18"
    },
    {
      "title": "OMG: Omni-Modal Motion Generation for Generalist Humanoid Control",
      "folder": "papers/13_Physics-Based_Animation/OMG__Omni-Modal_Motion_Generation_for_Generalist_Humanoid_Control",
      "note_file": "OMG__Omni-Modal_Motion_Generation_for_Generalist_Humanoid_Control.md",
      "status": "done",
      "arxiv": "2606.10340",
      "pdf_file": "",
      "route": "Physics-Based Animation",
      "title_cn": "OMG：面向人形通用控制的全模态动作生成",
      "done_date": "2026-06-19"
    },
    {
      "title": "Efficient and Scalable Monocular Human-Object Interaction Motion Reconstruction",
      "folder": "papers/14_Human_Motion/Efficient_and_Scalable_Monocular_Human-Object_Interaction_Motion_Reconstruction",
      "note_file": "Efficient_and_Scalable_Monocular_Human-Object_Interaction_Motion_Reconstruction.md",
      "status": "done",
      "arxiv": "",
      "pdf_file": "",
      "route": "人物交互重建",
      "title_cn": ""
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    {
      "title": "HANDOFF: Humanoid Agentic Task-Space Whole-Body Control via Distilled Complementary Teachers",
      "folder": "papers/04_Loco-Manipulation_and_WBC/HANDOFF__Humanoid_Agentic_Task-Space_Whole-Body_Control_via_Distilled_Teachers",
      "note_file": "HANDOFF__Humanoid_Agentic_Task-Space_Whole-Body_Control_via_Distilled_Teachers.md",
      "status": "done",
      "arxiv": "2606.06493",
      "pdf_file": "",
      "route": "移动操作/WBC",
      "title_cn": "用互补教师蒸馏打造任务空间人形全身控制器"
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    {
      "title": "FastStair: Learning to Run Up Stairs with Humanoid Robots",
      "folder": "papers/05_Locomotion/FastStair__Learning_to_Run_Up_Stairs_with_Humanoid_Robots",
      "note_file": "FastStair__Learning_to_Run_Up_Stairs_with_Humanoid_Robots.md",
      "status": "done",
      "arxiv": "2601.10365",
      "pdf_file": "",
      "route": "Locomotion",
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      "status": "done",
      "arxiv": "2511.23300",
      "pdf_file": "",
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      "title_cn": ""
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      "title": "LapSurgie: Humanoid Robots Performing Surgery via Teleoperated Handheld Laparoscopy",
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      "status": "done",
      "arxiv": "2510.03529",
      "pdf_file": "",
      "route": "Teleoperation",
      "title_cn": ""
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      "note_file": "DynaRetarget__Dynamically-Feasible_Retargeting_using_Sampling-Based_Trajectory_Optimization.md",
      "status": "done",
      "arxiv": "2602.06827",
      "pdf_file": "",
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      "title_cn": ""
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      "title": "Heracles: Bridging Precise Tracking and Generative Synthesis for General Humanoid Control",
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      "status": "done",
      "arxiv": "2603.27756",
      "pdf_file": "",
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      "title_cn": ""
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      "title": "Humanoid Hanoi: Investigating Shared Whole-Body Control for Skill-Based Box Rearrangement",
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      "status": "done",
      "arxiv": "2602.13850",
      "pdf_file": "",
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      "title_cn": ""
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      "title": "SUGAR: A Scalable Human-Video-Driven Generalizable Humanoid Loco-Manipulation Learning Framework",
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      "status": "done",
      "arxiv": "2605.20373",
      "pdf_file": "",
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      "title_cn": ""
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      "title": "SafeFlow: Real-Time Text-Driven Humanoid Whole-Body Control via Physics-Guided Rectified Flow and Selective Safety Gating",
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      "status": "done",
      "arxiv": "2603.23983",
      "pdf_file": "",
      "route": "Loco-Manipulation and WBC",
      "title_cn": ""
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      "title": "Toward Reliable Sim-to-Real Predictability for MoE-based Robust Quadrupedal Locomotion",
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      "status": "done",
      "arxiv": "2602.00678",
      "pdf_file": "",
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      "title_cn": ""
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    {
      "title": "Hand-Eye Autonomous Delivery: Learning Humanoid Navigation, Locomotion and Reaching",
      "folder": "papers/08_Navigation/HEAD__Hand-Eye_Autonomous_Delivery_Humanoid_Navigation_Locomotion_and_Reaching",
      "note_file": "HEAD__Hand-Eye_Autonomous_Delivery_Humanoid_Navigation_Locomotion_and_Reaching.md",
      "status": "done",
      "arxiv": "2508.03068",
      "pdf_file": "",
      "route": "Navigation",
      "title_cn": ""
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      "title": "Humanoid Occupancy: Enabling A Generalized Multimodal Occupancy Perception System on Humanoid Robots",
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      "status": "done",
      "arxiv": "2507.20217",
      "pdf_file": "",
      "route": "Navigation",
      "title_cn": ""
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      "title": "Learning Social Navigation from Positive and Negative Demonstrations and Rule-Based Specifications",
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      "status": "done",
      "arxiv": "2510.12215",
      "pdf_file": "",
      "route": "Navigation",
      "title_cn": ""
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      "title": "NavDP: Learning Sim-to-Real Navigation Diffusion Policy with Privileged Information Guidance",
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      "status": "done",
      "arxiv": "2505.08712",
      "pdf_file": "",
      "route": "Navigation",
      "title_cn": ""
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      "title": "Reinforcement Learning with Data Bootstrapping for Dynamic Subgoal Pursuit in Humanoid Robot Navigation",
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      "note_file": "RL_with_Data_Bootstrapping_for_Dynamic_Subgoal_Pursuit_in_Humanoid_Navigation.md",
      "status": "done",
      "arxiv": "2506.02206",
      "pdf_file": "",
      "route": "Navigation",
      "title_cn": ""
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      "title": "DiffCoTune: Differentiable Co-Tuning for Cross-domain Robot Control",
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      "status": "done",
      "arxiv": "2505.24068",
      "pdf_file": "",
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      "title_cn": ""
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      "title": "ACE: A Cross-Platform Visual-Exoskeletons System for Low-Cost Dexterous Teleoperation",
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      "status": "done",
      "arxiv": "2408.11805",
      "pdf_file": "",
      "route": "Teleoperation",
      "title_cn": ""
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      "status": "done",
      "arxiv": "2407.03162",
      "pdf_file": "",
      "route": "Teleoperation",
      "title_cn": ""
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    {
      "title": "CHILD: a Whole-Body Humanoid Teleoperation System",
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      "note_file": "CHILD__a_Whole-Body_Humanoid_Teleoperation_System.md",
      "status": "done",
      "arxiv": "2508.00162",
      "pdf_file": "",
      "route": "Teleoperation",
      "title_cn": ""
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    {
      "title": "Heavy lifting tasks via haptic teleoperation of a wheeled humanoid",
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      "note_file": "Heavy_Lifting_Tasks_via_Haptic_Teleoperation_of_a_Wheeled_Humanoid.md",
      "status": "done",
      "arxiv": "2505.19530",
      "pdf_file": "",
      "route": "Teleoperation",
      "title_cn": ""
    },
    {
      "title": "High-Speed and Impact Resilient Teleoperation of Humanoid Robots",
      "folder": "papers/07_Teleoperation/High-Speed_and_Impact_Resilient_Teleoperation_of_Humanoid_Robots",
      "note_file": "High-Speed_and_Impact_Resilient_Teleoperation_of_Humanoid_Robots.md",
      "status": "done",
      "arxiv": "2409.04639",
      "pdf_file": "",
      "route": "Teleoperation",
      "title_cn": ""
    },
    {
      "title": "Human-Robot Collaboration for the Remote Control of Mobile Humanoid Robots with Torso-Arm Coordination",
      "folder": "papers/07_Teleoperation/Human-Robot_Collaboration_for_Remote_Control_of_Mobile_Humanoid_Robots",
      "note_file": "Human-Robot_Collaboration_for_Remote_Control_of_Mobile_Humanoid_Robots.md",
      "status": "done",
      "arxiv": "2505.05773",
      "pdf_file": "",
      "route": "Teleoperation",
      "title_cn": ""
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    {
      "title": "NuExo: A Wearable Exoskeleton Covering all Upper Limb ROM for Outdoor Data Collection and Teleoperation of Humanoid Robots",
      "folder": "papers/07_Teleoperation/NuExo__A_Wearable_Exoskeleton_Covering_all_Upper_Limb_ROM",
      "note_file": "NuExo__A_Wearable_Exoskeleton_Covering_all_Upper_Limb_ROM.md",
      "status": "done",
      "arxiv": "2503.10554",
      "pdf_file": "",
      "route": "Teleoperation",
      "title_cn": ""
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    {
      "title": "TeleOpBench: A Simulator-Centric Benchmark for Dual-Arm Dexterous Teleoperation",
      "folder": "papers/07_Teleoperation/TeleOpBench__A_Simulator-Centric_Benchmark_for_Dual-Arm_Dexterous_Teleoperation",
      "note_file": "TeleOpBench__A_Simulator-Centric_Benchmark_for_Dual-Arm_Dexterous_Teleoperation.md",
      "status": "done",
      "arxiv": "2505.12748",
      "pdf_file": "",
      "route": "Teleoperation",
      "title_cn": ""
    },
    {
      "title": "Whole-Body Bilateral Teleoperation with Multi-Stage Object Parameter Estimation for Wheeled Humanoid Locomanipulation",
      "folder": "papers/07_Teleoperation/Whole-Body_Bilateral_Teleoperation_with_Multi-Stage_Object_Parameter_Estimation",
      "note_file": "Whole-Body_Bilateral_Teleoperation_with_Multi-Stage_Object_Parameter_Estimation.md",
      "status": "done",
      "arxiv": "2508.09846",
      "pdf_file": "",
      "route": "Teleoperation",
      "title_cn": ""
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    {
      "title": "BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark",
      "folder": "papers/11_Simulation_Benchmark/BiGym__A_Demo-Driven_Mobile_Bi-Manual_Manipulation_Benchmark",
      "note_file": "BiGym__A_Demo-Driven_Mobile_Bi-Manual_Manipulation_Benchmark.md",
      "status": "done",
      "arxiv": "2407.07788",
      "pdf_file": "",
      "route": "Simulation Benchmark",
      "title_cn": ""
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    {
      "title": "DexMimicGen: Automated Data Generation for Bimanual Dexterous Manipulation via Imitation Learning",
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      "note_file": "DexMimicGen__Automated_Data_Generation_for_Bimanual_Dexterous_Manipulation.md",
      "status": "done",
      "arxiv": "2410.24185",
      "pdf_file": "",
      "route": "Simulation Benchmark",
      "title_cn": ""
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    {
      "title": "DualTHOR: A Dual-Arm Humanoid Simulation Platform for Contingency-Aware Planning",
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      "note_file": "DualTHOR__A_Dual-Arm_Humanoid_Simulation_Platform_for_Contingency-Aware_Planning.md",
      "status": "done",
      "arxiv": "2506.16012",
      "pdf_file": "",
      "route": "Simulation Benchmark",
      "title_cn": ""
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    {
      "title": "HumanoidGen: Data Generation for Bimanual Dexterous Manipulation via LLM Reasoning",
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      "note_file": "HumanoidGen__Data_Generation_for_Bimanual_Dexterous_Manipulation_via_LLM_Reasoning.md",
      "status": "done",
      "arxiv": "2507.00833",
      "pdf_file": "",
      "route": "Simulation Benchmark",
      "title_cn": ""
    },
    {
      "title": "Humanoid World Models: Open World Foundation Models for Humanoid Robotics",
      "folder": "papers/11_Simulation_Benchmark/Humanoid_World_Models__Open_World_Foundation_Models_for_Humanoid_Robotics",
      "note_file": "Humanoid_World_Models__Open_World_Foundation_Models_for_Humanoid_Robotics.md",
      "status": "done",
      "arxiv": "2506.01182",
      "pdf_file": "",
      "route": "Simulation Benchmark",
      "title_cn": ""
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    {
      "title": "Learning with pyCub: A Simulation and Exercise Framework for Humanoid Robotics",
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      "note_file": "Learning_with_pyCub__A_Simulation_and_Exercise_Framework_for_Humanoid_Robotics.md",
      "status": "done",
      "arxiv": "2506.01756",
      "pdf_file": "",
      "route": "Simulation Benchmark",
      "title_cn": ""
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    {
      "title": "ManiSkill-HAB: A Benchmark for Low-Level Manipulation in Home Rearrangement Tasks",
      "folder": "papers/11_Simulation_Benchmark/ManiSkill-HAB__A_Benchmark_for_Low-Level_Manipulation_in_Home_Rearrangement_Tasks",
      "note_file": "ManiSkill-HAB__A_Benchmark_for_Low-Level_Manipulation_in_Home_Rearrangement_Tasks.md",
      "status": "done",
      "arxiv": "2412.13211",
      "pdf_file": "",
      "route": "Simulation Benchmark",
      "title_cn": ""
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      "title": "Mimicking-Bench: A Benchmark for Generalizable Humanoid-Scene Interaction Learning via Human Mimicking",
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      "note_file": "Mimicking-Bench__A_Benchmark_for_Generalizable_Humanoid-Scene_Interaction_Learning.md",
      "status": "done",
      "arxiv": "2412.17730",
      "pdf_file": "",
      "route": "Simulation Benchmark",
      "title_cn": ""
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      "title": "RoboCasa365: A Large-Scale Simulation Framework for Training and Benchmarking Generalist Robots",
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      "note_file": "RoboCasa365__A_Large-Scale_Simulation_Framework_for_Training_and_Benchmarking_Generalist_Robots.md",
      "status": "done",
      "arxiv": "2603.04356",
      "pdf_file": "",
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      "title_cn": ""
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    {
      "title": "RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots",
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      "note_file": "RoboCasa__Large-Scale_Simulation_of_Everyday_Tasks_for_Generalist_Robots.md",
      "status": "done",
      "arxiv": "2406.02523",
      "pdf_file": "",
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      "title_cn": ""
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    {
      "title": "GRAIL: Generating Humanoid Loco-Manipulation from 3D Assets and Video Priors",
      "arxiv": "2606.05160",
      "folder": "papers/11_Simulation_Benchmark/GRAIL__Generating_Humanoid_Loco-Manipulation_from_3D_Assets_and_Video_Priors",
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      "pdf_file": "",
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      "route": "Simulation Benchmark",
      "title_cn": "GRAIL：用 3D 资产与视频先验生成人形 Loco-Manipulation 数据"
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    {
      "title": "A Humanoid Visual-Tactile-Action Dataset for Contact-Rich Manipulation",
      "folder": "papers/06_Manipulation/A_Humanoid_Visual-Tactile-Action_Dataset_for_Contact-Rich_Manipulation",
      "note_file": "A_Humanoid_Visual-Tactile-Action_Dataset_for_Contact-Rich_Manipulation.md",
      "status": "done",
      "arxiv": "2510.25725",
      "pdf_file": "",
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      "title_cn": ""
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    {
      "title": "Dexterity from Smart Lenses: Multi-Fingered Robot Manipulation with In-the-Wild Human Demonstrations",
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      "note_file": "Dexterity_from_Smart_Lenses__Multi-Fingered_Manipulation_with_In-the-Wild_Human_Demos.md",
      "status": "done",
      "arxiv": "2511.16661",
      "pdf_file": "",
      "route": "Manipulation",
      "title_cn": ""
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    {
      "title": "EgoMI: Learning Active Vision and Whole-Body Manipulation from Egocentric Human Demonstrations",
      "folder": "papers/06_Manipulation/EgoMI__Learning_Active_Vision_and_Whole-Body_Manipulation_from_Egocentric_Human_Demos",
      "note_file": "EgoMI__Learning_Active_Vision_and_Whole-Body_Manipulation_from_Egocentric_Human_Demos.md",
      "status": "done",
      "arxiv": "2511.00153",
      "pdf_file": "",
      "route": "Manipulation",
      "title_cn": ""
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    {
      "title": "Endowing GPT-4 with a Humanoid Body: Building the Bridge Between Off-the-Shelf VLMs and the Physical World",
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      "note_file": "Endowing_GPT-4_with_a_Humanoid_Body__Bridge_Between_VLMs_and_the_Physical_World.md",
      "status": "done",
      "arxiv": "2511.00041",
      "pdf_file": "",
      "route": "Manipulation",
      "title_cn": ""
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    {
      "title": "In-N-On: Scaling Egocentric Manipulation with in-the-wild and on-task Data",
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      "note_file": "In-N-On__Scaling_Egocentric_Manipulation_with_in-the-wild_and_on-task_Data.md",
      "status": "done",
      "arxiv": "2511.15704",
      "pdf_file": "",
      "route": "Manipulation",
      "title_cn": ""
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    {
      "title": "Lightning Grasp: High Performance Procedural Grasp Synthesis with Contact Fields",
      "folder": "papers/06_Manipulation/Lightning_Grasp__High_Performance_Procedural_Grasp_Synthesis_with_Contact_Fields",
      "note_file": "Lightning_Grasp__High_Performance_Procedural_Grasp_Synthesis_with_Contact_Fields.md",
      "status": "done",
      "arxiv": "2511.07418",
      "pdf_file": "",
      "route": "Manipulation",
      "title_cn": ""
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    {
      "title": "EgoDemoGen: Egocentric Demonstration Generation for Viewpoint Generalization in Robotic Manipulation",
      "folder": "papers/06_Manipulation/EgoDemoGen__Egocentric_Demonstration_Generation_for_Viewpoint_Generalization",
      "note_file": "EgoDemoGen__Egocentric_Demonstration_Generation_for_Viewpoint_Generalization.md",
      "status": "done",
      "arxiv": "2509.22578",
      "pdf_file": "",
      "route": "Manipulation",
      "title_cn": ""
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    {
      "title": "Masquerade: Learning from In-the-wild Human Videos using Data-Editing",
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      "note_file": "Masquerade__Learning_from_In-the-wild_Human_Videos_using_Data-Editing.md",
      "status": "done",
      "arxiv": "2508.09976",
      "pdf_file": "",
      "route": "Manipulation",
      "title_cn": ""
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    {
      "title": "MimicDroid: In-Context Learning for Humanoid Robot Manipulation from Human Play Videos",
      "folder": "papers/06_Manipulation/MimicDroid__In-Context_Learning_for_Humanoid_Manipulation_from_Human_Play_Videos",
      "note_file": "MimicDroid__In-Context_Learning_for_Humanoid_Manipulation_from_Human_Play_Videos.md",
      "status": "done",
      "arxiv": "2509.09769",
      "pdf_file": "",
      "route": "Manipulation",
      "title_cn": ""
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      "title": "Residual Off-Policy RL for Finetuning Behavior Cloning Policies",
      "folder": "papers/06_Manipulation/Residual_Off-Policy_RL_for_Finetuning_Behavior_Cloning_Policies",
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      "status": "done",
      "arxiv": "2509.19301",
      "pdf_file": "",
      "route": "Manipulation",
      "title_cn": ""
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    {
      "title": "TOP: Time Optimization Policy for Stable and Accurate Standing Manipulation with Humanoid Robots",
      "folder": "papers/06_Manipulation/TOP__Time_Optimization_Policy_for_Stable_and_Accurate_Standing_Manipulation",
      "note_file": "TOP__Time_Optimization_Policy_for_Stable_and_Accurate_Standing_Manipulation.md",
      "status": "done",
      "arxiv": "2508.00355",
      "pdf_file": "",
      "route": "Manipulation",
      "title_cn": ""
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    {
      "title": "Towards Proprioception-Aware Embodied Planning for Dual-Arm Humanoid Robots",
      "folder": "papers/06_Manipulation/Towards_Proprioception-Aware_Embodied_Planning_for_Dual-Arm_Humanoid_Robots",
      "note_file": "Towards_Proprioception-Aware_Embodied_Planning_for_Dual-Arm_Humanoid_Robots.md",
      "status": "done",
      "arxiv": "2510.07882",
      "pdf_file": "",
      "route": "Manipulation",
      "title_cn": ""
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    {
      "title": "Being-H0: Vision-Language-Action Pretraining from Large-Scale Human Videos",
      "folder": "papers/06_Manipulation/Being-H0__Vision-Language-Action_Pretraining_from_Large-Scale_Human_Videos",
      "note_file": "Being-H0__Vision-Language-Action_Pretraining_from_Large-Scale_Human_Videos.md",
      "status": "done",
      "arxiv": "2507.15597",
      "pdf_file": "",
      "route": "Manipulation",
      "title_cn": ""
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      "arxiv": "2507.23523",
      "pdf_file": "",
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      "arxiv": "2506.22827",
      "pdf_file": "",
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      "arxiv": "2507.11498",
      "pdf_file": "",
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      "title_cn": ""
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      "status": "done",
      "arxiv": "2506.15666",
      "pdf_file": "",
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      "title": "Dexterous Safe Control for Humanoids in Cluttered Environments via Projected Safe Set Algorithm",
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      "status": "done",
      "arxiv": "2502.02858",
      "pdf_file": "",
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      "title_cn": ""
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      "status": "done",
      "arxiv": "2505.11709",
      "pdf_file": "",
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    {
      "title": "Humanoid Policy ~ Human Policy",
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      "arxiv": "2503.13441",
      "pdf_file": "",
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      "title_cn": ""
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      "title": "Humanoids in Hospitals: A Technical Study of Humanoid Robot Surrogates for Dexterous Medical Interventions",
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      "arxiv": "2503.12725",
      "pdf_file": "",
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    {
      "title": "Sim-and-Real Co-Training: A Simple Recipe for Vision-Based Robotic Manipulation",
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      "status": "done",
      "arxiv": "2503.24361",
      "pdf_file": "",
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      "title_cn": ""
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    {
      "title": "Unified Video Action Model",
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      "status": "done",
      "arxiv": "2503.00200",
      "pdf_file": "",
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      "title_cn": ""
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    {
      "title": "ARMADA: Augmented Reality for Robot Manipulation and Robot-Free Data Acquisition",
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      "status": "done",
      "arxiv": "2412.10631",
      "pdf_file": "",
      "route": "Manipulation",
      "title_cn": ""
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    {
      "title": "DexHub and DART: Towards Internet Scale Robot Data Collection",
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      "status": "done",
      "arxiv": "2411.02214",
      "pdf_file": "",
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      "title_cn": ""
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      "title": "Learning to Look Around: Enhancing Teleoperation and Learning with a Human-like Actuated Neck",
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      "status": "done",
      "arxiv": "2411.00704",
      "pdf_file": "",
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      "title_cn": ""
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    {
      "title": "Learning to Look: Seeking Information for Decision Making via Policy Factorization",
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      "status": "done",
      "arxiv": "2410.18964",
      "pdf_file": "",
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      "title_cn": ""
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      "title": "MobileH2R: Learning Generalizable Human to Mobile Robot Handover Exclusively from Scalable and Diverse Synthetic Data",
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      "status": "done",
      "arxiv": "2501.04595",
      "pdf_file": "",
      "route": "Manipulation",
      "title_cn": ""
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      "title": "Object-Centric Dexterous Manipulation from Human Motion Data",
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      "status": "done",
      "arxiv": "2411.04005",
      "pdf_file": "",
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      "title_cn": ""
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    {
      "title": "A Systematic Study of Data Modalities and Strategies for Co-training Large Behavior Models for Robot Manipulation",
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      "status": "done",
      "arxiv": "2602.01067",
      "pdf_file": "",
      "route": "Manipulation",
      "title_cn": ""
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    {
      "title": "Learning Visuotactile Skills with Two Multifingered Hands",
      "folder": "papers/06_Manipulation/Learning_Visuotactile_Skills_with_Two_Multifingered_Hands",
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      "status": "done",
      "arxiv": "2404.16823",
      "pdf_file": "",
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      "title_cn": ""
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    {
      "title": "OKAMI: Teaching Humanoid Robots Manipulation Skills through Single Video Imitation",
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      "status": "done",
      "arxiv": "2410.11792",
      "pdf_file": "",
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    {
      "title": "Being-M0.5: A Real-Time Controllable Vision-Language-Motion Model",
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      "status": "done",
      "arxiv": "2508.07863",
      "pdf_file": "",
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    {
      "title": "ClimbingCap: Multi-Modal Dataset and Method for Rock Climbing in World Coordinate",
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      "status": "done",
      "arxiv": "2503.21268",
      "pdf_file": "",
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      "title_cn": ""
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    {
      "title": "FRAME: Floor-aligned Representation for Avatar Motion from Egocentric Video",
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      "note_file": "FRAME__Floor-aligned_Representation_for_Avatar_Motion_from_Egocentric_Video.md",
      "status": "done",
      "arxiv": "2503.23094",
      "pdf_file": "",
      "route": "Human Motion",
      "title_cn": ""
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    {
      "title": "PICO: Reconstructing 3D People In Contact with Objects",
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      "status": "done",
      "arxiv": "2504.17695",
      "pdf_file": "",
      "route": "Human Motion",
      "title_cn": ""
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    {
      "title": "PRIMAL: Physically Reactive and Interactive Motor Model for Avatar Learning",
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      "note_file": "PRIMAL__Physically_Reactive_and_Interactive_Motor_Model_for_Avatar_Learning.md",
      "status": "done",
      "arxiv": "2503.17544",
      "pdf_file": "",
      "route": "Human Motion",
      "title_cn": ""
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    {
      "title": "Scaling Large Motion Models with Million-Level Human Motions",
      "folder": "papers/14_Human_Motion/Scaling_Large_Motion_Models_with_Million-Level_Human_Motions",
      "note_file": "Scaling_Large_Motion_Models_with_Million-Level_Human_Motions.md",
      "status": "done",
      "arxiv": "2410.03311",
      "pdf_file": "",
      "route": "Human Motion",
      "title_cn": ""
    },
    {
      "title": "Example-based Motion Synthesis via Generative Motion Matching",
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      "note_file": "Example-based_Motion_Synthesis_via_Generative_Motion_Matching.md",
      "status": "done",
      "arxiv": "2306.00378",
      "pdf_file": "",
      "route": "Human Motion",
      "title_cn": ""
    },
    {
      "title": "Flexible Motion In-betweening with Diffusion Models",
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      "status": "done",
      "arxiv": "2405.11126",
      "pdf_file": "",
      "route": "Human Motion",
      "title_cn": ""
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    {
      "title": "Guided Motion Diffusion for Controllable Human Motion Synthesis",
      "folder": "papers/14_Human_Motion/Guided_Motion_Diffusion_for_Controllable_Human_Motion_Synthesis",
      "note_file": "Guided_Motion_Diffusion_for_Controllable_Human_Motion_Synthesis.md",
      "status": "done",
      "arxiv": "2305.12577",
      "pdf_file": "",
      "route": "Human Motion",
      "title_cn": ""
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    {
      "title": "PhysDiff: Physics-Guided Human Motion Diffusion Model",
      "folder": "papers/14_Human_Motion/PhysDiff__Physics-Guided_Human_Motion_Diffusion_Model",
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      "status": "done",
      "arxiv": "2212.02500",
      "pdf_file": "",
      "route": "Human Motion",
      "title_cn": ""
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    {
      "title": "TEDi: Temporally-Entangled Diffusion for Long-Term Motion Synthesis",
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      "status": "done",
      "arxiv": "2307.15042",
      "pdf_file": "",
      "route": "Human Motion",
      "title_cn": ""
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      "title": "Taming Diffusion Probabilistic Models for Character Control",
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      "status": "done",
      "arxiv": "2404.15121",
      "pdf_file": "",
      "route": "Human Motion",
      "title_cn": ""
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    {
      "title": "AvatarPoser: Articulated Full-Body Pose Tracking from Sparse Motion Sensing",
      "folder": "papers/14_Human_Motion/AvatarPoser__Articulated_Full-Body_Pose_Tracking_from_Sparse_Motion_Sensing",
      "note_file": "AvatarPoser__Articulated_Full-Body_Pose_Tracking_from_Sparse_Motion_Sensing.md",
      "status": "done",
      "arxiv": "2207.13784",
      "pdf_file": "",
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      "title_cn": ""
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    {
      "title": "EgoPoser: Robust Real-Time Egocentric Pose Estimation from Sparse and Intermittent Observations Everywhere",
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      "note_file": "EgoPoser__Robust_Real-Time_Egocentric_Pose_Estimation_from_Sparse_Sensors.md",
      "status": "done",
      "arxiv": "2308.06493",
      "pdf_file": "",
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      "title_cn": ""
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    {
      "title": "Go to Zero: Towards Zero-shot Motion Generation with Million-scale Data",
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      "note_file": "Go_to_Zero__Towards_Zero-shot_Motion_Generation_with_Million-scale_Data.md",
      "status": "done",
      "arxiv": "2507.07095",
      "pdf_file": "",
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      "title_cn": ""
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    {
      "title": "Walk the PLANC: Physics-Guided RL for Agile Humanoid Locomotion on Constrained Footholds",
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      "note_file": "Walk_the_PLANC__Physics-Guided_RL_for_Agile_Humanoid_Locomotion_on_Constrained_Footholds.md",
      "status": "done",
      "arxiv": "2601.06286",
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      "title": "EgoVLA: Learning Vision-Language-Action Models from Egocentric Human Videos",
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      "note_file": "EgoVLA__Learning_Vision-Language-Action_Models_from_Egocentric_Human_Videos.md",
      "status": "done",
      "arxiv": "2507.12440",
      "pdf_file": "",
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    {
      "title": "GENMO: A Generalist Model for Human Motion",
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      "status": "done",
      "arxiv": "2505.01425",
      "pdf_file": "",
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      "title": "GuideWalk: Learning Unified Autonomous Navigation and Locomotion for Humanoid Robots across Versatile Terrains",
      "folder": "papers/08_Navigation/GuideWalk__Learning_Unified_Autonomous_Navigation_and_Locomotion_for_Humanoid",
      "note_file": "GuideWalk__Learning_Unified_Autonomous_Navigation_and_Locomotion_for_Humanoid.md",
      "status": "done",
      "arxiv": "2606.10449",
      "pdf_file": "",
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      "title_cn": "把可通过性感知的导航规划与地形自适应运动控制用复合教师蒸馏成统一策略，再经 RL+行为克隆微调，在楼梯/斜坡/窄梁上既避障又稳步"
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    {
      "title": "HEFT: Heavy-Payload Full-size Humanoid Teleoperation with Privileged Motion Guidance and Windowed Payload Curriculum",
      "arxiv": "2607.02332",
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      "status": "done",
      "start_date": "2026-07-13",
      "done_date": "2026-07-13",
      "route": "Teleoperation",
      "title_cn": "HEFT：面向重载全尺寸人形的全身遥操作"
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      "title": "DA-Nav: Direction-Aware City-Scale Vision-Language Navigation",
      "arxiv": "2607.11638",
      "folder": "papers/08_Navigation/DA-Nav__Direction-Aware_City-Scale_Vision-Language_Navigation",
      "note_file": "DA-Nav__Direction-Aware_City-Scale_Vision-Language_Navigation.md",
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      "status": "done",
      "start_date": "2026-07-14",
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      "route": "Navigation",
      "title_cn": "DA-Nav：方向感知的城市级视觉-语言导航"
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      "title": "Proprioceptive Invariant State Estimation for Humanoid Robots on Non-Inertial Ground",
      "arxiv": "2606.19512",
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      "note_file": "Proprioceptive_Invariant_State_Estimation_for_Humanoid_Robots_on_Non-Inertial_Ground.md",
      "pdf_file": "",
      "status": "done",
      "start_date": "2026-07-15",
      "done_date": "2026-07-15",
      "route": "State Estimation",
      "title_cn": "非惯性地面上人形机器人的本体感知不变状态估计"
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      "title": "FADA: Few-Shot Domain Adaptation via Dynamics Alignment for Humanoid Control",
      "arxiv": "2606.28476",
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      "note_file": "FADA__Few-Shot_Domain_Adaptation_via_Dynamics_Alignment_for_Humanoid_Control.md",
      "pdf_file": "",
      "status": "done",
      "start_date": "2026-07-16",
      "done_date": "2026-07-16",
      "route": "Sim-to-Real",
      "title_cn": "FADA：用动力学对齐实现少样本域自适应的人形控制"
    },
    {
      "title": "ThorArena: Benchmarking Humanoid Physical Interaction with Human Motion-Force Demonstrations",
      "arxiv": "2607.06052",
      "folder": "papers/11_Simulation_Benchmark/ThorArena__Benchmarking_Humanoid_Physical_Interaction_with_Motion-Force_Demonstrations",
      "note_file": "ThorArena__Benchmarking_Humanoid_Physical_Interaction_with_Motion-Force_Demonstrations.md",
      "pdf_file": "",
      "status": "done",
      "start_date": "2026-07-17",
      "done_date": "2026-07-17",
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      "title_cn": "ThorArena：面向人形物理交互的运动-力示范基准"
    },
    {
      "title": "ActiveUMI: Robotic Manipulation with Active Perception from Robot-Free Human Demonstrations",
      "folder": "papers/06_Manipulation/ActiveUMI__Robotic_Manipulation_with_Active_Perception_from_Robot-Free_Human_Demonstrations",
      "note_file": "ActiveUMI__Robotic_Manipulation_with_Active_Perception_from_Robot-Free_Human_Demonstrations.md",
      "status": "done",
      "arxiv": "2510.01607",
      "pdf_file": "",
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    {
      "title": "RGMP: Recurrent Geometric-prior Multimodal Policy for Generalizable Humanoid Robot Manipulation",
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      "note_file": "RGMP__Recurrent_Geometric-prior_Multimodal_Policy_for_Generalizable_Humanoid_Manipulation.md",
      "status": "done",
      "arxiv": "2511.09141",
      "pdf_file": "",
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    {
      "title": "MCR-Bionic Hand: Anatomical Structural Priors for Dexterous Manipulation",
      "folder": "papers/12_Hardware_Design/MCR-Bionic_Hand__Anatomical_Structural_Priors_for_Dexterous_Manipulation",
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      "status": "done",
      "arxiv": "2606.13601",
      "pdf_file": "",
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      "title_cn": ""
    },
    {
      "title": "HUMOTO: A 4D Dataset of Mocap Human Object Interactions",
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      "status": "done",
      "arxiv": "2504.10414",
      "pdf_file": "",
      "route": "Human Motion",
      "title_cn": ""
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    {
      "title": "OmniControl: Control Any Joint at Any Time for Human Motion Generation",
      "folder": "papers/14_Human_Motion/OmniControl__Control_Any_Joint_at_Any_Time_for_Human_Motion_Generation",
      "note_file": "OmniControl__Control_Any_Joint_at_Any_Time_for_Human_Motion_Generation.md",
      "status": "done",
      "arxiv": "2310.08580",
      "pdf_file": "",
      "route": "Human Motion",
      "title_cn": ""
    },
    {
      "title": "Humanoid-GPT: Scaling Data and Structure for Zero-Shot Motion Tracking",
      "folder": "papers/07_Teleoperation/Humanoid-GPT__Scaling_Data_and_Structure_for_Zero-Shot_Motion_Tracking",
      "note_file": "Humanoid-GPT__Scaling_Data_and_Structure_for_Zero-Shot_Motion_Tracking.md",
      "status": "done",
      "arxiv": "2606.03985",
      "pdf_file": "",
      "route": "Teleoperation",
      "title_cn": ""
    },
    {
      "title": "MoGeFlow: Flowing Through Motion Codebook Geometry for Text-to-Motion Generation",
      "arxiv": "2606.11656",
      "folder": "papers/14_Human_Motion/MoGeFlow__Flowing_Through_Motion_Codebook_Geometry_for_Text-to-Motion_Generation",
      "note_file": "MoGeFlow__Flowing_Through_Motion_Codebook_Geometry_for_Text-to-Motion_Generation.md",
      "pdf_file": "",
      "status": "done",
      "start_date": "2026-08-10",
      "done_date": "2026-08-10",
      "route": "Human Motion",
      "title_cn": "MoGeFlow：在运动码本几何上做流匹配的文本到动作生成"
    },
    {
      "title": "RoboTacDex: A Dexterous Visual-Tactile-Action Dataset for Humanoid Manipulation",
      "folder": "papers/06_Manipulation/RoboTacDex__A_Dexterous_Visual-Tactile-Action_Dataset_for_Humanoid_Manipulation",
      "note_file": "RoboTacDex__A_Dexterous_Visual-Tactile-Action_Dataset_for_Humanoid_Manipulation.md",
      "status": "done",
      "arxiv": "2606.31836",
      "pdf_file": "",
      "route": "操作任务",
      "title_cn": "RoboTacDex：面向人形操作的灵巧视觉-触觉-动作数据集"
    },
    {
      "title": "Teleopit: A Full-Embodiment Humanoid Teleoperation System",
      "folder": "papers/07_Teleoperation/Teleopit__A_Full-Embodiment_Humanoid_Teleoperation_System",
      "note_file": "Teleopit__A_Full-Embodiment_Humanoid_Teleoperation_System.md",
      "status": "done",
      "arxiv": "2608.01834",
      "pdf_file": "",
      "route": "遥操作",
      "title_cn": "Teleopit：用一副 VR 头显统管身-手-头的全体感人形遥操作系统"
    },
    {
      "title": "NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration",
      "folder": "papers/08_Navigation/NoMaD__Goal_Masked_Diffusion_Policies_for_Navigation_and_Exploration",
      "note_file": "NoMaD__Goal_Masked_Diffusion_Policies_for_Navigation_and_Exploration.md",
      "status": "done",
      "arxiv": "2310.07896",
      "pdf_file": "",
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      "title_cn": "NoMaD：面向导航与探索的目标掩码扩散策略"
    },
    {
      "title": "Iterated Invariant EKF for Quadruped Robot Odometry",
      "folder": "papers/09_State_Estimation/Iterated_Invariant_EKF_for_Quadruped_Robot_Odometry",
      "note_file": "Iterated_Invariant_EKF_for_Quadruped_Robot_Odometry.md",
      "status": "done",
      "arxiv": "2604.15449",
      "pdf_file": "",
      "route": "State Estimation",
      "title_cn": "IterIEKF：面向四足机器人里程计的迭代不变扩展卡尔曼滤波"
    },
    {
      "title": "Bridging the Sim-to-Real Gap in Parallel-Link Leg Mechanisms via Simulator-Side Dynamics Normalization",
      "arxiv": "2608.01697",
      "folder": "papers/10_Sim-to-Real/Bridging_the_Sim-to-Real_Gap_in_Parallel-Link_Leg_Mechanisms",
      "note_file": "Bridging_the_Sim-to-Real_Gap_in_Parallel-Link_Leg_Mechanisms.md",
      "pdf_file": "",
      "status": "done",
      "start_date": "2026-08-17",
      "done_date": "2026-08-17",
      "route": "Sim-to-Real",
      "title_cn": "S3N：面向并联腿机构 Sim-to-Real 的仿真侧动力学归一化"
    },
    {
      "title": "Handroid: Bridging Dexterous Hand and Humanoid",
      "folder": "papers/12_Hardware_Design/Handroid__Bridging_Dexterous_Hand_and_Humanoid",
      "note_file": "Handroid__Bridging_Dexterous_Hand_and_Humanoid.md",
      "status": "done",
      "arxiv": "2607.16187",
      "pdf_file": "",
      "route": "硬件设计",
      "title_cn": "Handroid：贯通灵巧手与人形机器人的双形态可重构平台"
    },
    {
      "title": "Learning to Grasp Anything by Playing with Random Toys",
      "folder": "papers/06_Manipulation/LEGO__Learning_to_Grasp_Anything_by_Playing_with_Random_Toys",
      "note_file": "LEGO__Learning_to_Grasp_Anything_by_Playing_with_Random_Toys.md",
      "status": "done",
      "arxiv": "2510.12866",
      "pdf_file": "",
      "route": "Manipulation",
      "title_cn": ""
    },
    {
      "title": "RoboEdit: Turning Human Manipulation Videos into Scalable Robot Experience",
      "folder": "papers/06_Manipulation/RoboEdit__Turning_Human_Manipulation_Videos_into_Scalable_Robot_Experience",
      "note_file": "RoboEdit__Turning_Human_Manipulation_Videos_into_Scalable_Robot_Experience.md",
      "status": "done",
      "arxiv": "2608.18948",
      "pdf_file": "",
      "route": "Manipulation",
      "title_cn": ""
    },
    {
      "title": "Towards Miniature Humanoid Tele-Loco-Manipulation Using Virtual Reality and Reinforcement Learning",
      "folder": "papers/07_Teleoperation/Miniature_Humanoid_Tele-Loco-Manipulation_using_VR_and_RL",
      "note_file": "Miniature_Humanoid_Tele-Loco-Manipulation_using_VR_and_RL.md",
      "status": "done",
      "arxiv": "2607.20399",
      "pdf_file": "",
      "route": "Teleoperation",
      "title_cn": ""
    },
    {
      "title": "ARMOR: Egocentric Perception for Humanoid Robot Collision Avoidance and Motion Planning",
      "folder": "papers/08_Navigation/ARMOR__Egocentric_Perception_for_Humanoid_Robot_Collision_Avoidance",
      "note_file": "ARMOR__Egocentric_Perception_for_Humanoid_Robot_Collision_Avoidance.md",
      "status": "done",
      "arxiv": "2412.00396",
      "pdf_file": "",
      "route": "Navigation",
      "title_cn": ""
    },
    {
      "title": "HumanoidPano: Hybrid Spherical Panoramic-LiDAR Cross-Modal Perception for Humanoid Robots",
      "folder": "papers/08_Navigation/HumanoidPano__Hybrid_Spherical_Panoramic-LiDAR_Cross-Modal_Perception",
      "note_file": "HumanoidPano__Hybrid_Spherical_Panoramic-LiDAR_Cross-Modal_Perception.md",
      "status": "done",
      "arxiv": "2503.09010",
      "pdf_file": "",
      "route": "Navigation",
      "title_cn": ""
    },
    {
      "title": "MIDAS Hand: Modular low-Impedance Direct-drive Anthropomorphic Sensing Hand",
      "folder": "papers/12_Hardware_Design/MIDAS_Hand__Modular_low-Impedance_Direct-drive_Anthropomorphic_Sensing_Hand",
      "note_file": "MIDAS_Hand__Modular_low-Impedance_Direct-drive_Anthropomorphic_Sensing_Hand.md",
      "status": "done",
      "arxiv": "2607.14487",
      "pdf_file": "",
      "route": "硬件设计",
      "title_cn": ""
    },
    {
      "title": "Toward Humanoid Brain-Body Co-design: Joint Optimization of Control and Morphology for Fall Recovery",
      "folder": "papers/12_Hardware_Design/RoboCraft_Humanoid_Brain-Body_Co-design_for_Fall_Recovery",
      "note_file": "RoboCraft_Humanoid_Brain-Body_Co-design_for_Fall_Recovery.md",
      "status": "done",
      "arxiv": "2510.22336",
      "pdf_file": "",
      "route": "硬件设计",
      "title_cn": ""
    },
    {
      "title": "Event-Based Upper-Body Humanoid Teleoperation Under Challenging Illumination",
      "folder": "papers/07_Teleoperation/Event-Based_Upper-Body_Humanoid_Teleoperation_Under_Challenging_Illumination",
      "note_file": "Event-Based_Upper-Body_Humanoid_Teleoperation_Under_Challenging_Illumination.md",
      "status": "done",
      "arxiv": "2607.29227",
      "pdf_file": "",
      "route": "Teleoperation",
      "title_cn": "极端光照下的事件相机上肢人形遥操作"
    },
    {
      "title": "HumanoidVLN: A Physics-Grounded Simulator and Benchmark for Vision-Language Navigation Across Diverse Humanoid Embodiments",
      "folder": "papers/08_Navigation/HumanoidVLN__Physics-Grounded_Simulator_and_Benchmark_for_Vision-Language_Navigation",
      "note_file": "HumanoidVLN__Physics-Grounded_Simulator_and_Benchmark_for_Vision-Language_Navigation.md",
      "status": "done",
      "arxiv": "2608.12860",
      "pdf_file": "",
      "route": "Navigation",
      "title_cn": "HumanoidVLN：面向多样人形本体的物理接地视觉-语言导航仿真器与基准"
    },
    {
      "title": "Embracing Evolution: A Call for Body-Control Co-Design in Embodied Humanoid Robot",
      "folder": "papers/12_Hardware_Design/Embracing_Evolution_A_Call_for_Body-Control_Co-Design_in_Embodied_Humanoid_Robot",
      "note_file": "Embracing_Evolution_A_Call_for_Body-Control_Co-Design_in_Embodied_Humanoid_Robot.md",
      "status": "done",
      "arxiv": "2510.03081",
      "pdf_file": "",
      "route": "硬件设计",
      "title_cn": ""
    },
    {
      "title": "Humanoid Robot Acrobatics Utilizing Complete Articulated Rigid Body Dynamics",
      "folder": "papers/13_Physics-Based_Animation/Humanoid_Robot_Acrobatics_Utilizing_Complete_Articulated_Rigid_Body_Dynamics",
      "note_file": "Humanoid_Robot_Acrobatics_Utilizing_Complete_Articulated_Rigid_Body_Dynamics.md",
      "status": "done",
      "arxiv": "2508.08258",
      "pdf_file": "",
      "route": "物理动画",
      "title_cn": ""
    },
    {
      "title": "Deep Imitation Learning for Humanoid Loco-manipulation through Human Teleoperation",
      "folder": "papers/07_Teleoperation/TRILL__Deep_Imitation_Learning_for_Humanoid_Loco-manipulation_through_Human_Teleoperation",
      "note_file": "TRILL__Deep_Imitation_Learning_for_Humanoid_Loco-manipulation_through_Human_Teleoperation.md",
      "status": "done",
      "arxiv": "2309.01952",
      "pdf_file": "",
      "route": "Teleoperation",
      "title_cn": ""
    },
    {
      "title": "EgoNav: Bridging Learned Waypoints and Geometry-Aware Local Control for Robust Indoor Navigation",
      "folder": "papers/08_Navigation/EgoNav__Bridging_Learned_Waypoints_and_Geometry-Aware_Local_Control",
      "note_file": "EgoNav__Bridging_Learned_Waypoints_and_Geometry-Aware_Local_Control.md",
      "status": "done",
      "arxiv": "2608.25642",
      "pdf_file": "",
      "route": "Navigation",
      "title_cn": ""
    },
    {
      "title": "TANGO: Humanoid Navigation in Cluttered Environments with a Whole-Body Vision-Language-Action Model",
      "folder": "papers/08_Navigation/TANGO__Whole-Body_Vision-Language_Navigation_in_Cluttered_Environments",
      "note_file": "TANGO__Whole-Body_Vision-Language_Navigation_in_Cluttered_Environments.md",
      "status": "done",
      "arxiv": "2609.09158",
      "pdf_file": "",
      "route": "Navigation",
      "title_cn": "TANGO：面向杂乱环境的人形全身视觉-语言-动作导航模型"
    },
    {
      "title": "KILVO: Kinematic-Inertial-LiDAR-Visual Odometry with Robust Multimodal Adaptation for Humanoid Robots",
      "folder": "papers/09_State_Estimation/KILVO__Kinematic-Inertial-LiDAR-Visual_Odometry_for_Humanoid_Robots",
      "note_file": "KILVO__Kinematic-Inertial-LiDAR-Visual_Odometry_for_Humanoid_Robots.md",
      "status": "done",
      "arxiv": "2608.05647",
      "pdf_file": "",
      "route": "State Estimation",
      "title_cn": "KILVO：面向人形机器人的运动学-惯性-激光-视觉多模态自适应里程计"
    },
    {
      "title": "World Translation: Minimizing Sim-to-Real Gap with Backward Dynamics Extraction and Unpaired Domain Translation",
      "folder": "papers/10_Sim-to-Real/World_Translation__Minimizing_Sim-to-Real_Gap_via_Backward_Dynamics_Extraction",
      "note_file": "World_Translation__Minimizing_Sim-to-Real_Gap_via_Backward_Dynamics_Extraction.md",
      "status": "done",
      "arxiv": "2607.18154",
      "pdf_file": "",
      "route": "Sim-to-Real",
      "title_cn": ""
    },
    {
      "title": "HumanoidMimicGen: Data Generation for Loco-Manipulation via Whole-Body Planning",
      "folder": "papers/11_Simulation_Benchmark/HumanoidMimicGen__Data_Generation_for_Loco-Manipulation_via_Whole-Body_Planning",
      "note_file": "HumanoidMimicGen__Data_Generation_for_Loco-Manipulation_via_Whole-Body_Planning.md",
      "status": "done",
      "arxiv": "2605.27724",
      "pdf_file": "",
      "route": "Simulation Benchmark",
      "title_cn": ""
    },
    {
      "title": "A Dual-Cam Parallel Elastic Actuator with Shared Gas-Spring Compensation for Humanoid Ankles",
      "folder": "papers/12_Hardware_Design/Dual-Cam_Parallel_Elastic_Actuator_with_Shared_Gas-Spring_for_Humanoid_Ankles",
      "note_file": "Dual-Cam_Parallel_Elastic_Actuator_with_Shared_Gas-Spring_for_Humanoid_Ankles.md",
      "status": "done",
      "arxiv": "2608.30832",
      "pdf_file": "",
      "route": "Hardware Design",
      "title_cn": ""
    },
    {
      "title": "SLMP: Spherical Latent Motion Prior for Physics-Based Simulated Humanoid Control",
      "arxiv": "2603.01294",
      "folder": "papers/13_Physics-Based_Animation/SLMP__Spherical_Latent_Motion_Prior_for_Physics-Based_Humanoid_Control",
      "note_file": "SLMP__Spherical_Latent_Motion_Prior_for_Physics-Based_Humanoid_Control.md",
      "pdf_file": "",
      "status": "done",
      "start_date": "2026-09-16",
      "done_date": "2026-09-16",
      "route": "物理动画",
      "title_cn": "SLMP：面向物理仿真人形控制的球面隐空间运动先验"
    },
    {
      "title": "ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM",
      "folder": "papers/09_State_Estimation/ORB-SLAM3__Visual_Visual-Inertial_and_Multi-Map_SLAM",
      "note_file": "ORB-SLAM3__Visual_Visual-Inertial_and_Multi-Map_SLAM.md",
      "status": "done",
      "arxiv": "2007.11898",
      "pdf_file": "",
      "route": "State Estimation",
      "title_cn": "ORB-SLAM3：视觉、视觉-惯性与多地图 SLAM 的高精度开源库"
    },
    {
      "title": "ManiSkill3: GPU Parallelized Robotics Simulation and Rendering for Generalizable Embodied AI",
      "folder": "papers/11_Simulation_Benchmark/ManiSkill3__GPU_Parallelized_Robotics_Simulation_and_Rendering",
      "note_file": "ManiSkill3__GPU_Parallelized_Robotics_Simulation_and_Rendering.md",
      "status": "done",
      "arxiv": "2410.00425",
      "pdf_file": "",
      "route": "Simulation Benchmark",
      "title_cn": "ManiSkill3：面向可泛化具身智能的 GPU 并行机器人仿真与渲染"
    },
    {
      "title": "Evolutionary Continuous Adaptive RL-Powered Co-Design for Humanoid Chin-Up Performance",
      "folder": "papers/12_Hardware_Design/EA-CoRL_Evolutionary_Continuous_Adaptive_RL_Co-Design_for_Humanoid_Chin-Up",
      "note_file": "EA-CoRL_Evolutionary_Continuous_Adaptive_RL_Co-Design_for_Humanoid_Chin-Up.md",
      "status": "done",
      "arxiv": "2509.26082",
      "pdf_file": "",
      "route": "Hardware Design",
      "title_cn": "EA-CoRL：面向人形引体向上的进化式连续自适应强化学习协同设计"
    },
    {
      "title": "Feature-Based vs. GAN-Based Learning from Demonstrations: When and Why",
      "folder": "papers/13_Physics-Based_Animation/Feature-Based_vs_GAN-Based_Learning_from_Demonstrations__When_and_Why",
      "note_file": "Feature-Based_vs_GAN-Based_Learning_from_Demonstrations__When_and_Why.md",
      "status": "done",
      "arxiv": "2507.05906",
      "pdf_file": "",
      "route": "Physics-Based Animation",
      "title_cn": "基于特征与基于 GAN 的示范学习：何时用、为什么"
    },
    {
      "title": "FAME: Force-Adaptive RL for Expanding the Manipulation Envelope of a Full-Scale Humanoid",
      "folder": "papers/04_Loco-Manipulation_and_WBC/FAME__Force-Adaptive_RL_for_Expanding_the_Manipulation_Envelope_of_a_Full-Scale_Humanoid",
      "note_file": "FAME__Force-Adaptive_RL_for_Expanding_the_Manipulation_Envelope_of_a_Full-Scale_Humanoid.md",
      "status": "done",
      "arxiv": "2603.08961",
      "pdf_file": "",
      "route": "Loco-Manipulation and WBC",
      "title_cn": "FAME：扩展全尺寸人形操作包络的力自适应强化学习"
    },
    {
      "title": "E-SDS: Environment-aware See it, Do it, Sorted - Automated Environment-Aware Reinforcement Learning for Humanoid Locomotion",
      "folder": "papers/05_Locomotion/E-SDS__Environment-Aware_Automated_Reward_Generation_for_Humanoid_Locomotion",
      "note_file": "E-SDS__Environment-Aware_Automated_Reward_Generation_for_Humanoid_Locomotion.md",
      "status": "done",
      "arxiv": "2512.16446",
      "pdf_file": "",
      "route": "Locomotion",
      "title_cn": "E-SDS：面向人形行走的环境感知自动奖励生成强化学习"
    },
    {
      "title": "Learning to Get Up Across Morphologies: Zero-Shot Recovery with a Unified Humanoid Policy",
      "folder": "papers/05_Locomotion/Learning_to_Get_Up_Across_Morphologies__Zero-Shot_Recovery_with_a_Unified_Humanoid_Policy",
      "note_file": "Learning_to_Get_Up_Across_Morphologies__Zero-Shot_Recovery_with_a_Unified_Humanoid_Policy.md",
      "status": "done",
      "arxiv": "2512.12230",
      "pdf_file": "",
      "route": "Locomotion",
      "title_cn": "跨形态学习起身：统一人形策略的零样本跌倒恢复"
    },
    {
      "title": "Immiscible Diffusion Policy: Preserving Multimodal Robot Actions through Label-Free Noise Assignment",
      "folder": "papers/06_Manipulation/Immiscible_Diffusion_Policy__Preserving_Multimodal_Robot_Actions_through_Label-Free_Noise_Assignment",
      "note_file": "Immiscible_Diffusion_Policy__Preserving_Multimodal_Robot_Actions_through_Label-Free_Noise_Assignment.md",
      "status": "done",
      "arxiv": "2610.09369",
      "pdf_file": "",
      "route": "Manipulation",
      "title_cn": "不相溶扩散策略：用无标签噪声分配保住机器人动作的多模态"
    },
    {
      "title": "Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping",
      "folder": "papers/09_State_Estimation/Kimera__Open-Source_Library_for_Real-Time_Metric-Semantic_Localization_and_Mapping",
      "note_file": "Kimera__Open-Source_Library_for_Real-Time_Metric-Semantic_Localization_and_Mapping.md",
      "status": "done",
      "arxiv": "1910.02490",
      "pdf_file": "",
      "route": "State Estimation",
      "title_cn": "Kimera：实时度量-语义定位与建图的开源库"
    },
    {
      "title": "Genesis: A Generative and Universal Physics Engine for Robotics and Beyond",
      "folder": "papers/11_Simulation_Benchmark/Genesis__A_Generative_and_Universal_Physics_Engine_for_Robotics_and_Beyond",
      "note_file": "Genesis__A_Generative_and_Universal_Physics_Engine_for_Robotics_and_Beyond.md",
      "status": "done",
      "arxiv": "",
      "pdf_file": "",
      "route": "Simulation Benchmark",
      "title_cn": "Genesis：面向机器人及更广领域的生成式通用物理引擎"
    },
    {
      "title": "A Framework for Optimal Ankle Design of Humanoid Robots",
      "folder": "papers/12_Hardware_Design/Framework_for_Optimal_Ankle_Design_of_Humanoid_Robots",
      "note_file": "Framework_for_Optimal_Ankle_Design_of_Humanoid_Robots.md",
      "status": "done",
      "arxiv": "2509.16469",
      "pdf_file": "",
      "route": "Hardware Design",
      "title_cn": "人形机器人踝关节最优设计框架"
    },
    {
      "title": "RL from Physical Feedback: Aligning Large Motion Models with Humanoid Control",
      "folder": "papers/13_Physics-Based_Animation/RLPF__RL_from_Physical_Feedback_Aligning_Large_Motion_Models_with_Humanoid_Control",
      "note_file": "RLPF__RL_from_Physical_Feedback_Aligning_Large_Motion_Models_with_Humanoid_Control.md",
      "status": "done",
      "arxiv": "2506.12769",
      "pdf_file": "",
      "route": "Physics-Based Animation",
      "title_cn": "RLPF：基于物理反馈的强化学习，让大动作模型对齐人形机器人控制"
    }
  ]
}