Xiaocong Zhu
Papers
9
Total Citations
48
H-Index
4
About
Xiaocong Zhu is a robotics researcher whose work centers on human–robot interaction, trajectory optimization, and the control of flexible and mobile robotic systems. A key contribution is the development of a single-input adaptive fuzzy sliding mode controller for lower extremity exoskeletons, which improves tracking performance by interpreting human motion intention through human–robot interaction forces—a paper that has garnered 21 citations. Zhu has also advanced time-optimal trajectory planning, proposing novel algorithms that satisfy physical constraints to boost both productivity and accuracy in machining and robotics, with related works accumulating 11 citations. Notable achievements include robust trajectory tracking control for wheeled mobile robots using μ-synthesis, and inverse dynamics-based control with parameter adaptation for flexible link manipulators, addressing critical challenges in lightweight, low-energy robotic arms for industrial and aerospace applications. Zhu’s research further extends to bio-inspired robotics, such as modeling flexible legs for a bio-falling cat robot, and adaptive robust visual servoing for uncertain manipulators. With a portfolio spanning exoskeletons, mobile robots, and flexible manipulators, Zhu’s work demonstrates a sustained focus on enhancing robotic autonomy, safety, and efficiency through intelligent control strategies.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Novel Algorithm for Time Optimal Trajectory Planning6 citations · 2014
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- 7A 3-level adaptive robust control strategy for autonomous mobile robots2 citations · 2015
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