Papers
3
Total Citations
18
H-Index
2
About
Dr. Zichun Xu is a pioneering researcher in space robotics and intelligent control systems, whose work bridges the gap between theoretical precision and practical autonomy. His primary research areas encompass high-precision trajectory tracking for space manipulators, modular reconfigurable robotic systems, and the development of open-source reinforcement learning (RL) environments for robotic manipulation. Dr. Xu’s most impactful contribution is his work on identification and high-precision trajectory tracking control for space robotic manipulators (2023), which has garnered 13 citations and addresses the critical challenge of operating robots in the unpredictable dynamics of space. He further advances the field with the MRSRS (Modular Reconfigurable Space Robotic System, 2025), introducing the innovative PETLOCK standard interface that enables load, power, and data transfer—a key enabler for future autonomous space exploration. Demonstrating a commitment to accessible research, Dr. Xu also developed open-source RL environments in MuJoCo with the Franka manipulator (2024), providing the robotics community with ready-to-use platforms for push, slide, and pick-and-place tasks. Through these contributions, Dr. Xu is shaping the future of autonomous space robotics and democratizing robotic learning tools.
Research Focus
Key Achievements
Top Papers
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