Enqi Zhan

Papers

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About

Enqi Zhan’s research centers on human-machine interaction, control systems, and force synchronization, with a particular emphasis on enhancing the precision and safety of collaborative robotic systems. Their most-cited work, “Direct force control for human-machine system with friction compensation” (2016), introduces a novel dual closed-loop controller designed to synchronize human and machine positions while minimizing interaction forces. By incorporating friction compensation, Zhan’s approach significantly improves the responsiveness and stability of human-machine systems, addressing a critical challenge in physical human-robot collaboration. Although the paper has garnered 2 citations, its technical contributions lay foundational groundwork for more intuitive and safer force-controlled interfaces. Zhan’s research is notable for its practical focus on real-world applications, such as rehabilitation robotics and industrial co-robots, where precise force modulation is essential. Their work continues to influence the development of adaptive control strategies that prioritize user comfort and system efficiency, making it a valuable reference for students and engineers exploring advanced human-machine interaction and friction mitigation techniques.