Chenguang Yang
South China University of Technology, Imperial College London, Swansea University, University of the West of England, University of Plymouth, Bristol Robotics Laboratory, University of Liverpool, National University of Singapore, Shanghai Jiao Tong University, Foshan University, Chinese Academy of Sciences, Beijing Institute of Technology, Harbin Institute of Technology, Tongji University, Zhongyuan University of Technology
Papers
415
Total Citations
16,414
H-Index
67
About
Chenguang Yang is a prolific robotics and control systems researcher whose work spans robot control, human-robot interaction, teleoperation, and intelligent learning systems. His research has made transformative contributions to some of the most challenging problems in modern robotics, earning well over 3,600 citations across his top ten papers alone. Yang's foundational work addresses the control of complex robotic systems under uncertainty. His development of extended state observer-based sliding mode control for underwater robots (551 citations) and finite-time convergence adaptive schemes for dual-arm manipulators (462 citations) demonstrate his mastery of robust control theory. Equally significant are his contributions to human-robot interaction: his human-like impedance adaptation framework (392 citations) and admittance-based controllers for physical human-robot interaction (294–296 citations) have become reference works for researchers designing collaborative and exoskeleton systems. Yang has also advanced robot learning, proposing integrated frameworks combining dynamic movement primitives with adaptive neural control (346 citations) to enable skill transfer from human demonstration to robotic execution. His teleoperation research, merging wave variable methods with neural networks to handle communication delays (327 citations), further illustrates his breadth. Collectively, Yang's work has significantly shaped intelligent, adaptive, and safe robotic systems for real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Human-Like Adaptation of Force and Impedance in Stable and Unstable Interactions392 citations · 2011
- 4
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- 6Teleoperation Control Based on Combination of Wave Variable and Neural Networks327 citations · 2016
- 7
- 8Neural-Learning-Based Telerobot Control With Guaranteed Performance299 citations · 2016
- 9Physical Human–Robot Interaction of a Robotic Exoskeleton By Admittance Control296 citations · 2018
- 10