Linfeng Li
Papers
1
Total Citations
10
H-Index
1
About
Linfeng Li is a leading researcher in robot control and optimization, whose work addresses critical challenges in making robotic systems both capable and physically realistic. His research focuses on operational space control, motion coordination, and the integration of actuation constraints into feedback controllers—bridging the gap between theoretical control design and real-world hardware limitations. Li’s most-cited paper, “Operational Space Control Under Actuation Constraints Using Strictly Convex Optimization” (2019, 10 citations), introduces a novel framework that extends classical operational space controllers to robots with actuation limits, enabling stable tracking, motion coordination, and stabilization even under physical constraints. This work is foundational for applications ranging from humanoid robots to industrial manipulators, where safety and performance must coexist. By formulating control as a strictly convex optimization problem, Li provides a principled, computationally efficient solution that respects torque and force bounds. His contributions are shaping next-generation robot control systems that are both theoretically rigorous and practically deployable, making him a key figure in advancing the field of constrained robotic motion.
Research Focus
Key Achievements
Top Papers
- 1