Chun-Yeon Lin

Papers

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About

Chun-Yeon Lin is a robotics researcher whose work centers on intelligent control systems, vibration suppression, and human-robot interaction. His most impactful contribution is an iterative learning control method for vibration suppression in six-axis robotic arms, which directly addresses a critical challenge in precision automation and has garnered 16 citations since 2023. Lin also developed a sophisticated visual perception system for dual-arm mobile robots that integrates hand gesture recognition and engagement detection, enabling more natural human-robot collaboration. This work, cited 9 times, demonstrates his ability to combine computer vision with control theory for practical interaction scenarios. His research bridges fundamental control engineering with applied robotics, offering solutions that improve both the safety and effectiveness of robotic systems in industrial and service settings. Lin’s contributions are particularly valuable for researchers working on compliant manipulation, collaborative robotics, and intelligent automation, where precise motion control and intuitive human interfaces are essential.