John Y. Chiang

Kaohsiung Medical University, National Sun Yat-sen University

Papers

Total Citations

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About

John Y. Chiang is a researcher whose work bridges computer vision, robotics, and intelligent manufacturing. His contributions focus on developing vision-based systems for industrial automation and adaptive locomotion strategies for multi-legged robots. Notably, his 2014 paper "Vision-based Assembly and Inspection System for Golf Club Heads" (15 citations) demonstrates a practical application of computer vision for quality control in manufacturing, showcasing how imaging techniques can streamline assembly processes and reduce errors. In his 2015 work "Image-Based Method for Determining Better Walking Strategies for Hexapods" (2 citations), Chiang addresses a fundamental challenge in robotics: enabling six-legged robots to navigate unknown, discontinuous terrain without prior environmental data. By leveraging image analysis to inform gait planning, his research enhances the static and dynamic stability of hexapods, which are inherently more stable than other multi-legged platforms. This work has implications for search-and-rescue missions and exploration in unstructured environments. Chiang’s ability to integrate vision with robotic control systems underscores his impact in both applied engineering and theoretical robotics, offering students and researchers a clear example of how computer vision can solve real-world locomotion and inspection challenges.