Mingyao Wang

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About

Mingyao Wang is a researcher at the intersection of assistive robotics and human-computer interaction, with a primary focus on developing intuitive, gaze-guided systems to restore independence for individuals with severe motor impairments. His most notable contribution is the design and validation of a free-view, 3D gaze-guided assistive robotic system for activities of daily living. This system uniquely allows users with quadriplegia to control a robotic arm using only their eye movements, while permitting natural, unrestricted head motion—a significant advancement over prior gaze interfaces that required head stabilization. By estimating the user’s point of regard in three-dimensional space, Wang’s work enables precise, real-time manipulation of objects, directly addressing a critical barrier to autonomy. This research has garnered over 34 citations, reflecting its impact on the fields of rehabilitation engineering and human-robot interaction. Wang’s achievement lies in translating complex gaze-tracking technology into a practical, user-centered solution that empowers patients to perform essential tasks like feeding and grasping, thereby improving quality of life and paving the way for more accessible assistive technologies.