Yung-Yaw Chen

Papers

Total Citations

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About

Yung-Yaw Chen is a pioneering researcher in robotics and intelligent systems, with key contributions spanning agricultural automation, bio-inspired robotics, and surgical assistance. His most impactful work, "Vision based fruit sorting system using measures of fuzziness and degree of matching" (2002, 12 citations), introduced fuzzy logic approaches to optimize fruit image thresholding and classification, achieving 93.3% accuracy—a significant improvement over traditional statistical methods. This work laid groundwork for intelligent agricultural sorting systems. In bio-inspired robotics, Chen advanced serpentine locomotion theory through his 2008 study on snake robot efficiency, exploring constant versus variable bending angles to optimize Hirose’s kinematic model. More recently, his 2021 paper on a robotic flexible endoscope holder for laparoscopic surgery demonstrates his commitment to translating robotics into clinical practice, designing systems that mimic human operators while maintaining surgical safety. Though his citation counts reflect focused, specialized contributions, Chen’s work bridges theoretical robotics with practical applications in agriculture and medicine, showcasing how fuzzy logic and kinematic principles can solve real-world challenges. His career exemplifies the value of interdisciplinary problem-solving in robotics.