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About

Chan-Yun Yang is a robotics and intelligent systems researcher whose work spans autonomous navigation, robotic manipulation, control systems, and emerging applications in healthcare technology. With a career built on bridging theoretical frameworks and practical implementation, Yang has made notable contributions to robot path planning, most prominently by merging support vector machine optimization with artificial potential field methods to enable smarter autonomous navigation. His development of fuzzy-logic-based robotic grasping controllers — cited 15 times and among his most recognized work — demonstrates a sustained commitment to making robotic manipulation more adaptive and reliable in real-world environments. Yang has also advanced control theory through his research on LQR-PID hybrid controllers for rotary inverted pendulums, with direct implications for bipedal robotics and rehabilitation engineering. His broader portfolio reflects impressive versatility: from intelligent vehicle adaptation and dynamic obstacle avoidance to a pioneering "Doctor Robot" for remote skin disease diagnosis, anticipating the growing intersection of robotics and telemedicine. More recently, his contributions to soft robotics locomotion and Extended Kalman Filter-based ambulance robot localization signal continued relevance in cutting-edge domains. Collectively accumulating over 75 citations, Yang's research offers a coherent vision of robots as increasingly intelligent, adaptive, and socially beneficial agents.