Sheng Ge

Papers

Total Citations

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About

Sheng Ge is a researcher focused on assistive robotics and human-computer interaction, with a particular emphasis on developing technologies that empower individuals with severe motor impairments. Their most notable contribution is the design and implementation of a non-invasive, eye-tracking-based robotic arm control system, published in 2022. This work addresses a critical challenge faced by people with severe speech and motor impairments, who often struggle to communicate or interact with their environment. By leveraging eye-tracking technology, Ge’s system enables users to control a robotic arm without requiring any muscle movement, offering a practical, user-centered solution for daily assistance. With 5 citations, this study has already garnered attention for its potential to improve quality of life and autonomy. Ge’s research integrates principles from robotics, biomedical engineering, and user experience design, showcasing a commitment to creating accessible, real-world applications. Their work stands as a promising step toward more inclusive assistive technologies, bridging the gap between advanced robotics and the needs of vulnerable populations.