Wei He
University of Science and Technology Beijing, University of Electronic Science and Technology of China, University of Science and Technology of China, Liaoning Academy of Materials, Beijing Information Science & Technology University, Beijing Academy of Artificial Intelligence, National University of Singapore
Papers
140
Total Citations
12,797
H-Index
52
About
Wei He is a prominent researcher in intelligent robotics and adaptive control systems, whose work has fundamentally advanced how robots interact with uncertain, constrained environments. His research centers on adaptive neural network and fuzzy control, impedance control, robotic manipulator dynamics, and human-robot interaction. He is perhaps best known for his 2015 landmark paper on neural network control of uncertain robots with full-state constraints, which has garnered over 1,250 citations and established foundational methodologies now widely adopted across the field. Across his most-cited works, He has consistently tackled critical real-world challenges including input saturation, deadzone nonlinearities, time-varying output constraints, and finite-time parameter convergence — amassing collectively over 5,300 citations. His contributions extend beyond rigid manipulators to flexible robotic systems and bimanual robots, demonstrating remarkable breadth. Notably, his research on upper limb exoskeleton control using biological signals bridges robotics with rehabilitative medicine, while his robot learning framework combining dynamic movement primitives with adaptive neural control represents a significant step toward autonomous skill acquisition. His body of work has positioned him as a leading authority in intelligent control for next-generation robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Adaptive Neural Network Control of an Uncertain Robot With Full-State Constraints1,257 citations · 2015
- 2Adaptive Neural Impedance Control of a Robotic Manipulator With Input Saturation787 citations · 2015
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