Papers
8
Total Citations
83
H-Index
5
About
Xuhui Hu is a leading researcher in non-muscular human-robot interaction and assistive robotics, with a focus on developing intuitive control systems for individuals with severe motor impairments. His major contributions span hybrid gaze–brain machine interfaces, soft pneumatic rehabilitation robotics, and human-robot co-adaptation frameworks that integrate biofeedback for continuous myoelectric control. Notably, his 2020 work on semi-autonomous robotic arm reaching via hybrid gaze-BMI has garnered 35 citations, establishing a foundation for shared control strategies in assistive devices. Hu has also advanced sEMG-based hand movement recognition by fusing domain knowledge with deep learning, and developed high-spatial-resolution tactile sensors for texture recognition. His research extends to multi-robot system control under hands-occupied dual-tasking, demonstrating practical applications in challenging real-world scenarios. Hu’s team achieved competitive success at CYBATHLON 2024 with the HANDSON Hand, showcasing their underactuated, rigid-flexible coupled prosthetic design. With over 80 cumulative citations and a trajectory toward clinically translatable neuroprosthetics, Hu’s work is pivotal for next-generation rehabilitation and assistive technologies.
Research Focus
Key Achievements
Top Papers
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- 7A Rigid and Flexible Structures Coupled Underactuated Hand2 citations · 2022
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