Ming Shao
Papers
1
Total Citations
40
H-Index
1
About
Ming Shao’s research lies at the intersection of biomedical engineering and assistive robotics, with a primary focus on developing intelligent systems that restore autonomy to individuals with severe physical disabilities. His most cited work, an electrooculogram (EOG)-based wheelchair robotic arm system, represents a significant breakthrough in human-machine interaction. By harnessing eye-movement signals, Shao’s system enables patients with high-level spinal cord injuries to perform complex tasks—such as self-directed drinking—without requiring manual input. This innovation tackles the critical challenge of precise wheelchair positioning to align with randomly placed objects, merging mobility with dexterous manipulation in a single, intuitive interface. With over 40 citations, this 2019 study has become a foundational reference in the field of EOG-controlled assistive devices. Shao’s contributions extend beyond technical design; he emphasizes real-world usability and patient-centered outcomes, bridging the gap between laboratory prototypes and clinical application. His work continues to inspire advances in non-invasive neural interfaces, offering a tangible path toward greater independence for individuals with severe motor impairments.
Research Focus
Key Achievements
Top Papers
- 1