Yu‐Hsun Wang

Papers

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About

Yu-Hsun Wang’s research bridges the gap between precision manufacturing and bio-inspired robotics, with a focus on robotic belt-grinding systems and the dynamic modeling of spider monkey robots. In his most cited work, Wang developed a normal force estimation model for robotic belt-grinding, addressing a critical challenge in automated finishing processes. This model improves defect reduction and burr removal, offering a novel approach beyond traditional grinding wheel methods. His contributions to spider monkey robotics are equally notable, where he designed and implemented a robot that mimics the brachiating behavior of real spider monkeys. By deriving equations of motion using Lagrangian methods and optimizing operational parameters, Wang’s work advances understanding of arboreal locomotion and its robotic applications. His papers have garnered citations that underscore their impact in both manufacturing and robotics communities. Wang’s interdisciplinary approach—combining mechanical design, dynamic analysis, and practical implementation—demonstrates a commitment to solving real-world problems through innovative engineering. His research not only enhances industrial automation but also inspires future developments in biologically inspired robotics.