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About

Chun-Yi Lin is a leading researcher in autonomous systems, with a primary focus on artificial intelligence-driven control for autonomous surface vehicles (ASVs) and mobile robotics. His most notable contribution is the development of integrated robotic software and hardware systems that bridge the gap between small-scale platforms like Duckietown and real-world maritime challenges such as the RobotX Challenge. Lin’s work on "Team NCTU: Toward AI-Driving for Autonomous Surface Vehicles" (2019, 5 citations) provides a foundational framework for critical ASV tasks, including obstacle avoidance and autonomous docking, building on prior efforts from the 2014 and 2016 RobotX competitions. By advancing AI-driven navigation in complex, unstructured aquatic environments, his research has direct implications for transportation, military, and oceanographic applications. Lin’s achievements highlight his role in translating theoretical AI models into practical, field-tested robotic systems, making him a key figure in the evolution of autonomous maritime technology. His ongoing work continues to inspire students and researchers aiming to push the boundaries of real-world autonomous navigation.