Xiaohang Yang
Papers
8
Total Citations
46
H-Index
4
About
Xiaohang Yang is a rising researcher in space and intelligent robotics, whose work bridges the gap between theoretical control systems and practical, open-source tools for the research community. His primary focus lies in the neurodynamics-based control and trajectory planning of robotic manipulators, particularly for the demanding environment of space. A key contribution is his development of intelligent, neurodynamics-driven configuration transformation methods for robot manipulators, which has garnered significant attention with 15 citations. Yang has also made substantial strides in high-precision trajectory tracking for space robotic manipulators (13 citations), addressing the critical challenge of operating under large external forces. Demonstrating a commitment to democratizing robotics research, he has pioneered the creation of open-source reinforcement learning environments using the MuJoCo physics engine and the Franka Emika Panda arm, providing accessible platforms for tasks like pick-and-place. His innovative work extends to modular space systems, where he has designed and tested PetLock, a genderless standard interface for on-orbit construction, and the Modular Reconfigurable Space Robotic System (MRSRS). Through this blend of advanced control theory and open-source development, Yang is shaping the future of autonomous space exploration and robotic manipulation.
Research Focus
Key Achievements
Top Papers
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- 5Constraint-integrated inverse kinematics method for dual-arm motion3 citations · 2024
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