Zhidan Zhang
Papers
2
Total Citations
46
H-Index
2
About
Zhidan Zhang is a robotics researcher whose work centers on the control and autonomy of space robotic systems, with a particular focus on multi-joint manipulators operating in the challenging microgravity environment. Zhang’s major contributions lie in developing advanced algorithms for both motion planning and adaptive control. In a highly cited 2019 paper (38 citations), Zhang introduced an obstacle avoidance and path planning algorithm that enables a space robot’s end-effector to safely capture targets while navigating around obstacles—a critical capability for on-orbit servicing and debris removal. Building on this, a 2020 study (8 citations) tackled the tracking control problem for these manipulators under model uncertainties and external disturbances, employing a Gauss-Newton interactive optimization to compute desired joint angles. This work is notable for its practical approach to ensuring precise, stable motion in unpredictable conditions. Zhang’s research directly addresses the core challenges of space robotics: safe autonomy, robust control, and real-time adaptability. By bridging theoretical optimization with real-world space operations, Zhang’s work has become a foundational reference for engineers and researchers developing next-generation robotic systems for orbital missions.
Research Focus
Key Achievements
Top Papers
- 1
- 2