Robot Motion Planning · Fast Path Planning · Online Trajectory Planning · Robot System Integration

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Master's student in Mechanical Engineering at Beijing University of Posts and Telecommunications, with a research focus on robot motion planning. My work centers on robot system integration and development, manipulator motion planning, fast path planning, online trajectory planning, Qt-based human-machine interfaces, 3D simulation, and real-robot debugging.

I have hands-on engineering experience across algorithm design, software module development, system integration, on-site commissioning, and hardware validation. My project background includes robotics systems for aviation industry applications, embodied-intelligence robotic pilot control, and additive manufacturing. I care deeply about making robotics algorithms stable, debuggable, and usable on real robotic platforms.

I also make active use of Claude Code, Codex, and other AI development tools for code generation, refactoring, debugging assistance, documentation, and rapid prototype validation, integrating AI into my daily engineering workflow.

Role: Software System Lead

Led software system integration, development, and debugging for a dual-arm robotic platform, building core capabilities across motion planning, online trajectory updates, human-machine interaction, and function integration for complex aviation industry tasks.

• Integrated software modules, debugged system components, and supported full-system commissioning on a real dual-arm robot platform.
• Implemented and debugged linear planning, circular-arc planning, and joint-space planning algorithms to improve path controllability, trajectory continuity, and execution stability.
• Optimized path generation and trajectory update workflows around on-site debugging needs and complex operation constraints.
• Developed Qt-based robot debugging and HMI software, integrating 3D simulation, status monitoring, parameter configuration, and function-module debugging.
• Integrated remote operation and on-site interaction functions to support validation and rapid issue reproduction during complex tasks.
• Participated deeply in real-robot testing, exception diagnosis, parameter tuning, and system iteration.

Outcome: Built practical experience in deploying motion-planning algorithms, HMI software, and system-integration capabilities into a real dual-arm robotic system for industrial applications.

Role: Technical Lead

Served as technical lead for the project, coordinating the technical scheme and development progress while focusing on manipulator motion-planning algorithms for operating aircraft cockpit control devices.

• Planned the technical roadmap and decomposed work across algorithm development, system integration, and validation.
• Researched motion-planning methods for manipulator operation in constrained aircraft cockpit environments.
• Designed and implemented planning algorithms around control-device position constraints, constrained-space collision avoidance, and stable execution.
• Drove closed-loop iteration from technical design and simulation validation to real-robot debugging, improving reliability for cockpit operation tasks.

Outcome: Gained technical ownership experience for embodied-intelligence tasks and translated high-level operation goals into executable and verifiable robot motion-planning workflows.

Role: Motion Planning Algorithm Developer

Developed time-optimal joint-space trajectory planning algorithms and supported stable cross-platform deployment of a manipulator motion-planning algorithm library.

• Developed time-optimal joint-space trajectory planning algorithms to improve execution efficiency and motion continuity for additive manufacturing scenarios.
• Optimized the trajectory-planning workflow around path continuity, velocity constraints, joint constraints, and execution stability.
• Contributed to algorithm library interface design, functional validation, and platform adaptation to improve portability and engineering usability.
• Supported stable deployment across different platforms for efficient integration into downstream manipulator application systems.

Outcome: Built experience in engineering a motion-planning algorithm library from implementation and interface design to cross-platform adaptation and stable application.

Beijing University of Posts and Telecommunications | Master's Degree

• Major: Mechanical Engineering
• Research Focus: Robot Motion Planning

• End-to-end robotics engineering: Able to drive robotics work from algorithm design and module development to system integration and real-robot validation.
• Motion-planning background: Experience in fast path planning, online trajectory planning, linear planning, circular-arc planning, joint-space planning, and time-optimal trajectory planning.
• HMI and simulation development: Able to build Qt-based robot operation and debugging interfaces with 3D simulation, status monitoring, parameter configuration, and function-module debugging.
• AI-assisted development: Skilled at using Claude Code, Codex, and similar tools for coding, refactoring, debugging support, documentation, and prototype validation.
• Real-world project exposure: Project experience across aviation industry applications, embodied-intelligence robotic pilot control, and additive manufacturing.
• Technical ownership: Experience planning technical roadmaps, decomposing development tasks, tracking progress, and driving validation.
• Real-robot debugging: Comfortable diagnosing engineering issues across algorithms, control, communication, and system integration.

Robot Motion Planning · Fast Path Planning · Online Trajectory Planning · Real-Robot Debugging