Papers
31
Total Citations
477
H-Index
11
About
Guozheng Xu is a prominent researcher specializing in rehabilitation robotics, adaptive control systems, and brain-computer interfaces (BCIs), with a career dedicated to improving outcomes for stroke survivors and individuals with physical disabilities. His foundational work in upper-limb rehabilitation robotics, particularly his development of adaptive impedance control strategies using evolutionary dynamic recurrent fuzzy neural networks, established him as a leading voice in intelligent rehabilitation systems, garnering over 80 citations. Xu's contributions extend beyond hardware design; he pioneered safety supervisory frameworks that protect vulnerable patients during robotic-assisted therapy, addressing critical concerns around spasm detection and emergency response. His research has progressively integrated cognitive and emotional dimensions into rehabilitation, including anxiety detection systems that allow robots to adapt training tasks in real time. More recently, Xu has pushed the boundaries of human-machine interaction through hybrid BCI-controlled robotic arms combining EEG, computer vision, and eye tracking — work that has attracted 65 citations since 2022. With a cumulative citation count exceeding 370, his interdisciplinary contributions spanning control engineering, neuroscience, and clinical rehabilitation continue to meaningfully shape the future of assistive and rehabilitative technology.
Research Focus
Key Achievements
Top Papers
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- 2Control System Design for an Upper-Limb Rehabilitation Robot76 citations · 2010
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- 9Robotic neurorehabilitation system design for stroke patients14 citations · 2015
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