Papers
8
Total Citations
74
H-Index
5
About
Le Fu is a leading researcher in the field of human-robot interaction, with a core focus on developing novel compliance control strategies that prioritize safety and dexterity. His major contribution is the pioneering application of the **Maxwell model**—a spring-damper system connected in series—as an alternative to the traditional Voigt model for impedance and admittance control. This paradigm shift allows robots to exhibit superior plastic deformation behavior and more natural, friendly physical interactions. Fu’s work has been highly influential, with his foundational paper on "Maxwell-Model-Based Compliance Control" (2020) garnering 21 citations, and his research on variable impedance control using electromyogram (EMG) signals (2019) receiving 20 citations. He has also made notable advances in learning from demonstration, designing interfaces that measure arm muscle co-activation to enable intuitive robot teaching. By addressing stability and performance in redundant manipulators and dynamic tasks like compliant catching, Fu is shaping the next generation of robots capable of safe, adaptive, and human-like physical collaboration.
Research Focus
Key Achievements
Top Papers
- 1Maxwell-Model-Based Compliance Control for Human–Robot Friendly Interaction21 citations · 2020
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