Baochang Zhang

Papers

Total Citations

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About

Baochang Zhang is a leading researcher in rehabilitation robotics and assistive technologies, with a focus on developing intelligent systems that restore mobility and independence. His most cited work, "Development of an EMG-Controlled Knee Exoskeleton to Assist Home Rehabilitation in a Game Context" (2019, 75 citations), addresses a critical challenge in stroke recovery: enabling patients with weak muscle activity to perform meaningful rehabilitation exercises. By integrating electromyography (EMG) control with gamified feedback, Zhang created a system that allows users to engage in home-based therapy, making motor recovery more accessible and engaging. This contribution has significant implications for reducing the burden on clinical resources and improving patient outcomes. Earlier in his career, Zhang also advanced mobile robotics through "Motion Estimation for a Mobile Robot Based on Real-Time Stereo Vision System" (2009), demonstrating expertise in vision-based navigation and real-time processing. His work bridges engineering and clinical application, showcasing a commitment to translating cutting-edge robotics into practical solutions for healthcare. Zhang’s research continues to inspire innovations in human-robot interaction and rehabilitation engineering.