Changjiang Cai

Papers

Total Citations

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About

Changjiang Cai’s research lies at the intersection of assistive robotics, egocentric computer vision, and human-robot interaction, with a focus on enhancing mobility for individuals with physical disabilities. His most cited work, “An Egocentric Computer Vision Based Co-Robot Wheelchair” (2016, 16 citations), introduced a pioneering hands-free navigation system that leverages head-mounted cameras and gaze-based control, enabling users with limited hand functionality to command a wheelchair intuitively. Building on this, his 2023 paper (12 citations) refined the approach by integrating multiple autonomy levels—from fully autonomous to shared control—allowing users to tailor navigation to their preferences and abilities. Together, these contributions have shaped the field of co-robotic wheelchairs, demonstrating how egocentric vision can transform assistive technology from passive tools into intelligent partners. Cai’s work is notable for its human-centered design, prioritizing user agency and safety, and has been cited by researchers in robotics, rehabilitation engineering, and computer vision. His ongoing efforts continue to push toward more accessible, adaptive mobility solutions for aging and disabled populations.