Chun-Tse Lin
Papers
2
Total Citations
7
H-Index
2
About
Chun-Tse Lin is a robotics researcher whose work focuses on assistive technologies for mobility support, particularly in home environments. His key research areas include human-robot interaction, adaptive control systems, and rehabilitation robotics. Lin's major contribution lies in developing robotic walking support systems that can intelligently adapt to individual users' walking gaits while ensuring safe navigation and collision avoidance. His 2013 paper on human-robot interactive assistance for a robotic walking support system (5 citations) introduced a system with user-adaptive characteristics and a novel call-and-come service incorporating gesture-based interaction. In another notable work from the same year (2 citations), Lin proposed a practical fuzzy controller with Q-learning for path tracking of a walking-aid robot, demonstrating how reinforcement learning can enhance fuzzy control systems for human-robot interactive navigation. Though his citation counts are modest, Lin's research represents important early steps toward creating intuitive, responsive assistive robots that can seamlessly integrate into daily living environments, potentially improving quality of life for individuals with mobility challenges.
Research Focus
Key Achievements
Top Papers
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- 2