Ling-Xiao Li
Papers
1
Total Citations
4
H-Index
1
About
Ling-Xiao Li is a robotics researcher whose work centers on intelligent robotic manipulation, with a particular focus on adaptive force control and automated polishing systems. Li’s most cited paper, “Robotic normal constant force polishing of unknown-model workpieces using variable impedance control” (2025, 4 citations), introduces a novel approach to maintaining consistent normal contact force during polishing—a critical factor for uniform material removal. The key contribution lies in enabling robots to handle workpieces without pre-existing models, using variable impedance control to achieve both positional and force flexibility. This work addresses a significant challenge in automated manufacturing, where unknown or irregular surfaces often hinder precision. By developing a method that adapts to real-time contact dynamics, Li advances the field of robotic polishing toward greater autonomy and efficiency. Though early in their career, Li’s research has already been recognized for its practical implications in industrial automation, offering a pathway to more versatile and cost-effective robotic finishing processes. Their work stands out for bridging the gap between theoretical control strategies and real-world application, making it a valuable reference for researchers in robotics, manufacturing, and human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1