Yuanchun Li
Papers
8
Total Citations
65
H-Index
5
About
Yuanchun Li is a robotics and control systems researcher whose work spans advanced manipulation, rehabilitation robotics, and intelligent autonomous systems. His research is primarily concentrated in three interconnected areas: modular and reconfigurable robot control, multi-manipulator coordination, and human-assistive robotic technologies. Among his most significant contributions is his pioneering application of finite-element modeling to coordinate position and force control for dual-manipulator systems handling flexible payloads, a technically complex problem that has attracted 16 citations. His development of decentralized reinforcement learning frameworks—particularly combining action-critic-identifier architectures with Q-function methods for reconfigurable modular robots—represents a notable advance in intelligent adaptive control, earning 15 citations. Li has also made meaningful contributions to rehabilitation engineering, proposing adaptive sliding mode impedance control strategies for lower-limb rehabilitation robots to support patients with walking disabilities. Across his portfolio, Li demonstrates a consistent commitment to bridging theoretical control methodologies with real-world robotic applications, including mobile robot navigation using neuro-fuzzy behavior-based approaches and trajectory planning for mobility assistance platforms. His body of work, while specialized, reflects a thoughtful integration of machine learning, optimal control theory, and mechatronic system design that continues to inform researchers working at the intersection of robotics and intelligent automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6A New Distributed Control Scheme of Modular and Reconfigurable Robots4 citations · 2007
- 7
- 8