Ying-Chih Wang

Papers

Total Citations

H-Index

About

Ying-Chih Wang is a researcher whose work sits at the intersection of human-robot interaction, rehabilitation engineering, and teleoperation systems. His primary research focuses on developing accessible, technology-driven solutions for physical therapy, with a particular emphasis on upper limb rehabilitation. Wang’s most cited work, "Kinect Controlled NAO Robot for Telerehabilitation" (2020, 17 citations), introduces a novel framework that leverages the Microsoft Kinect sensor to control a NAO humanoid robot remotely. This system allows therapists to demonstrate rehabilitation exercises to multiple patients in different locations simultaneously, significantly expanding access to care. By combining affordable motion-sensing technology with teleoperation, Wang addresses critical barriers in rehabilitation—such as therapist shortages and geographical limitations—making therapy more scalable and inclusive. His contributions are particularly notable for integrating intuitive, non-invasive control methods that require no specialized equipment on the patient’s end. This work has been recognized for its practical impact on telerehabilitation, offering a blueprint for future low-cost, robot-assisted therapy systems. Wang’s research continues to push the boundaries of how robotics and sensor technology can be harnessed to improve human health and well-being.