Yanbin Xu

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About

Yanbin Xu is a pioneering researcher in the field of human-robot interaction, with a focus on integrating mixed reality and biosignal control for mobile robotics. Their work centers on developing intuitive, non-invasive control methods that bridge the gap between human intent and robotic action. Xu’s major contributions include the creation of a teleoperated shared control scheme that combines surface electromyography (sEMG) signals with potential field methods for path planning, enabling safer and more natural robot navigation. Their most-cited paper, “Omnidirectional Mobile Robot Control based on Mixed Reality and sEMG Signals” (2018, 10 citations), demonstrates a novel fusion of virtual reality and muscle signal interpretation for remote robot control, while their related work on shared control (2018, 8 citations) advances the field by integrating human gesture and arm stiffness data. Xu’s research has significant implications for assistive technologies, rehabilitation robotics, and industrial automation, offering richer, more accessible interaction modalities. Their innovative approach to combining human physiological signals with immersive interfaces marks a notable achievement in making robot control more adaptive and user-friendly.