Papers
12
Total Citations
126
H-Index
5
About
Shurong Li is a robotics and control systems researcher whose work centers on trajectory planning, sliding mode control, and motion optimization for robotic manipulators. With a career spanning over two decades, Li has made substantial contributions to the field of robot motion planning, particularly in developing computationally efficient methods for time-optimal trajectory generation. His highly cited 2013 paper on smooth minimum time trajectory planning (34 citations) and his 2015 work on convex optimization-based path tracking (31 citations) established practical frameworks that allow robotic manipulators to fully exploit their dynamic capabilities while respecting real-world constraints such as torque limits and motor voltage bounds. Beyond trajectory planning, Li has advanced robust and adaptive control strategies for manipulators, introducing novel terminal sliding mode frameworks for simultaneous force and position control, handling system uncertainties, time delays, and flexible joints. His 2014 work on adaptive finite-time motion/force control (17 citations) exemplifies this thread of research. Earlier contributions to nonlinear H∞ controller design further demonstrate the breadth of his theoretical grounding. Collectively, Li's publications reflect a consistent effort to bridge rigorous mathematical optimization with practical robotic implementation, making his work particularly valuable for researchers and engineers designing high-performance autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7Adaptive full-order sliding mode control of rigid robotic manipulators5 citations · 2015
- 8
- 9
- 10