Xiangpan Li

Henan University of Science and Technology

Papers

Total Citations

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About

Xiangpan Li is a robotics researcher whose work bridges intelligent manufacturing and human-centered robot applications. His research spans two interconnected domains: industrial robot control and rehabilitation robotics, reflecting a broad commitment to advancing how robots interact with both physical environments and human users. In the realm of industrial automation, Li has made notable contributions through his development of hybrid force/position control methods for robot peg-in-hole assembly. By integrating six-dimensional force sensing at the robot wrist, his approach meaningfully reduces the complexity of teaching assembly robots, offering practical value for intelligent manufacturing production lines. This work has already attracted 5 citations shortly after its 2025 publication, signaling strong early interest from the robotics community. Li has also pioneered an innovative rehabilitation framework for upper limb recovery, drawing inspiration from the principles of Tai Chi Pushing Hands to create more theoretically grounded and engaging training trajectories for robot-assisted therapy. Published in 2024 and already accumulating citations, this work addresses a genuine gap in rehabilitation robotics, where monotonous single-mode training has long been a clinical concern. Together, Li's contributions demonstrate a versatile research vision that connects precision robot control with meaningful human benefit.