Mingfu Li

Xiangtan University, Huazhong University of Science and Technology

Papers

Total Citations

H-Index

About

Mingfu Li’s research focuses on robotic manipulation, compliant control, and human-robot collaboration, with a particular emphasis on improving precision and adaptability in industrial and teleoperation settings. His most notable contribution is a novel compliant control method for industrial robot surface tracking, which addresses the challenge of maintaining stable normal contact forces during grinding and polishing. By integrating force feedback with a priori contour inclination data, Li’s approach corrects velocity commands in real time, significantly enhancing surface tracking stability. This work, published in 2022, has already garnered 4 citations, reflecting its practical relevance to manufacturing automation. Li also advanced semi-autonomous teleoperation systems, designing frameworks that combine visual feedback and feedforward control to enable robotic hand-eye coordination. His 2008 papers on teleoperation and collaborative systems, with 3 and 2 citations respectively, laid groundwork for shared autonomy in human-robot tasks. Through these contributions, Li has demonstrated a clear impact on both theoretical control strategies and applied robotics, offering solutions that improve force regulation and cooperative performance. His research continues to influence the development of more responsive and reliable robotic systems for industrial and collaborative environments.