Jian Huang
Huazhong University of Science and Technology, Nagoya University, Ministry of Education of the People's Republic of China, Huzhou University, University of Science and Technology of China, University of Delaware, Yokohama National University, Kindai University, Beijing Advanced Sciences and Innovation Center, Arizona State University, Indiana University – Purdue University Indianapolis, Hiroshima City University, Université Paris-Est Créteil, University of Science and Technology, Wuhan University of Science and Technology, Ministry of Education, Okayama University
Papers
164
Total Citations
4,036
H-Index
32
About
Jian Huang is a prominent robotics and control systems researcher whose work spans underactuated mechanical systems, rehabilitation robotics, and autonomous robot navigation. His early landmark contribution on sliding-mode velocity control of mobile-wheeled inverted-pendulum (MWIP) systems (241 citations) established foundational control strategies for a challenging class of underactuated robots, later extended to novel narrow vehicle designs addressing urban mobility challenges. Huang has made significant strides in human-robot interaction, developing intelligent assistive technologies including an omnidirectional cane robot for the elderly (188 citations), upper-limb power-assist exoskeletons driven by motion intention recognition (184 citations), and the clinically deployed RUPERT wearable exoskeleton for stroke rehabilitation (143 citations). His disturbance observer-based sliding mode control framework (212 citations) has become widely referenced for handling mismatched uncertainties in robotic systems. Huang has also advanced pneumatic muscle actuator control through innovative machine learning approaches, including echo state Gaussian process model predictive control (88 citations). His comprehensive review of odor source localization algorithms (224 citations) reflects his broader contributions to autonomous robotics. With multiple papers exceeding 100 citations, Huang's research has meaningfully shaped modern assistive robotics, intelligent vehicle control, and robust nonlinear control theory.
Research Focus
Key Achievements
Top Papers
- 1Sliding-Mode Velocity Control of Mobile-Wheeled Inverted-Pendulum Systems241 citations · 2010
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- 8Fall Detection and Prevention Control Using Walking-Aid Cane Robot104 citations · 2015
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