Jinhui Zhang
Papers
14
Total Citations
179
H-Index
8
About
Jinhui Zhang is a dynamic robotics and control systems researcher whose work spans advanced trajectory tracking, model predictive control, and emerging medical robotics. Best known for developing sophisticated control architectures for robotic manipulators and mobile platforms, Zhang's most-cited contribution — an adaptive sliding mode disturbance observer-based composite control framework for robot manipulators with prescribed performance (2022, 45 citations) — demonstrates a talent for elegantly combining robust estimation with high-precision motion control. His research extends to nonlinear model predictive control for unreachable periodic references, extended state observer-based iterative learning, and vision-based adaptive tracking for wheeled mobile robots, collectively reflecting a comprehensive command of both theoretical control design and practical implementation challenges. More recently, Zhang has expanded into the cutting-edge domain of magnetic soft continuum robots for endovascular intervention, contributing closed-loop control strategies and quantitative performance evaluations that push autonomous medical robotics closer to clinical reality. His earlier work on central pattern generator-based quadruped locomotion further underscores his breadth across robotic platforms. With over 160 cumulative citations and active output across multiple high-impact venues, Zhang represents a compelling voice bridging intelligent control theory and next-generation robotic applications.
Research Focus
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Top Papers
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- 9Magnetic Robot for Endovascular Intervention: Performance Evaluation7 citations · 2024
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