Papers
7
Total Citations
109
H-Index
6
About
Xiutao Gu is a leading researcher in the control and autonomy of free-flying flexible-joint space robots, a critical area for on-orbit servicing and debris removal. His work centers on developing advanced control strategies that ensure safe, precise, and energy-efficient manipulation in the harsh space environment. Gu’s major contributions include pioneering fixed-time and predefined-time impedance control schemes, which guarantee convergence within a user-specified time, a significant leap over traditional asymptotic methods. He has also innovated in path planning with an energy-optimal adaptive artificial potential field method, directly addressing the challenge of avoiding obstacles while conserving fuel. His papers, such as the 2022 work on fixed-time anti-saturation compensators (30 citations) and the 2023 energy-optimal path planning study (27 citations), have garnered substantial attention, reflecting their practical impact. Notably, his 2024 paper on predefined-time impedance control for force sensor-less target capturing offers a breakthrough for safely grappling faulty satellites. With over 100 total citations, Gu’s research is shaping the next generation of autonomous space robots, providing robust solutions for trajectory tracking, disturbance rejection, and actuator constraints.
Research Focus
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