Zhijun Li
South China University of Technology, University of Science and Technology of China, Southeast University, Chinese Academy of Sciences, Tongji University, National University of Singapore, Ministry of Education of the People's Republic of China, Shanghai Sunshine Rehabilitation Center, Shanghai Jiao Tong University, Italian Institute of Technology, University of Electro-Communications, Wuhan University of Technology, Shandong Academy of Sciences, Soochow University, Shanghai University
Papers
272
Total Citations
16,261
H-Index
73
About
Zhijun Li is a prominent robotics and control systems researcher whose work spans adaptive control, human-robot interaction, neural network-based learning, and computer vision. His research has profoundly advanced the field of intelligent robotics, with his ten most-cited papers alone accumulating over 3,400 citations, reflecting the extraordinary breadth and depth of his influence. Li's most celebrated contributions include pioneering finite-time convergence methods for robot parameter estimation and adaptive control, addressing a critical gap in the literature regarding convergence speed rather than merely estimation accuracy. His work on dual-arm robotic systems introduced rigorous motion precision guarantees and adaptive fuzzy control frameworks that handle strongly coupled nonlinearities — challenges that had long hindered practical deployment of bimanual robots. Equally impactful is his research on model predictive control incorporating neural-dynamic optimization for mobile robot trajectory tracking, and teleoperation systems that elegantly combine wave variable techniques with neural networks to manage communication delays. Li has also made significant strides in human-robot interaction, developing admittance and impedance control strategies for robotic exoskeletons that integrate biological signals to enable intuitive physical collaboration. Complementing his robotics expertise, his survey on small object detection has become a foundational reference in computer vision. Together, these contributions establish Zhijun Li as a leading voice shaping the future of intelligent, adaptive, and human-centered robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6Teleoperation Control Based on Combination of Wave Variable and Neural Networks327 citations · 2016
- 7
- 8
- 9Physical Human–Robot Interaction of a Robotic Exoskeleton By Admittance Control296 citations · 2018
- 10