Jiahui Pan

South China Normal University, Jiangsu University, Chinese University of Hong Kong

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About

Jiahui Pan is a pioneering researcher at the intersection of human-machine interaction, assistive robotics, and autonomous navigation. Their work centers on developing intuitive, multimodal interfaces that bridge the gap between human intent and robotic action, with a strong emphasis on accessibility and real-world deployment. Pan’s major contributions include the creation of a human-machine interface that combines electrooculography (EOG) signals with gyroscopic data, enabling individuals with motor disabilities to control humanoid robots for home services—a breakthrough that has garnered 7 citations and demonstrates tangible assistive potential. Expanding on this, Pan has advanced multifunctional robots driven by multimodal brain-machine interfaces, pushing the boundaries of non-invasive neural control. In parallel, their research addresses critical challenges in precision agriculture, proposing high-precision mapping and real-time localization systems for GNSS-denied environments like machinery sheds, a work already cited 2 times. Most recently, Pan introduced an embodiment-agnostic action planning framework using object-part scene flow, a novel approach that decouples robotic action from specific physical forms, enabling versatile manipulation across diverse robotic platforms. With a growing citation impact and a portfolio spanning assistive technology, agricultural automation, and generalizable robotics, Jiahui Pan is shaping a future where robots are more responsive, accessible, and context-aware.