Yuandong Zhang
Papers
1
Total Citations
40
H-Index
1
About
Dr. Yuandong Zhang is a leading researcher in assistive robotics and human-machine interfaces, with a primary focus on developing intelligent systems for individuals with severe physical disabilities. His most impactful work centers on integrating biosignal processing with robotic control to restore independence for patients with spinal cord injuries (SCIs). In his highly cited 2019 study (40 citations), Zhang pioneered an electrooculogram (EOG)-based system that combines a wheelchair with a robotic arm, enabling patients to perform complex self-drinking tasks through eye movements alone. This breakthrough addresses the critical challenge of precise wheelchair positioning and robotic arm coordination in unstructured environments, representing a significant advancement in non-invasive assistive technology. His research demonstrates how combining physiological signal processing with adaptive robotics can create practical, real-world solutions for mobility and manipulation. Zhang's work has been instrumental in bridging the gap between laboratory prototypes and clinically viable assistive devices, with his EOG-based system serving as a foundation for subsequent innovations in brain-computer interfaces and autonomous wheelchair navigation. His contributions continue to shape the field of rehabilitation robotics, offering new possibilities for improving quality of life in patients with severe motor impairments.
Research Focus
Key Achievements
Top Papers
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