Yu Hou Wu

Papers

Total Citations

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About

Yu Hou Wu is a dedicated researcher in the field of precision robotics and mechanical kinematics, with a primary focus on motion error analysis and the dynamic behavior of robotic systems constrained by real-world mechanical imperfections. His work centers on understanding how joint clearances and kinematic pair constraints introduce invariant errors in discrete motion—a critical challenge for high-precision automation. In his most cited paper, "Invariant errors of discrete motion constrained by actual kinematic pairs" (2017, 12 citations), Wu provides a foundational framework for modeling and predicting these systematic errors, offering insights that bridge theoretical kinematics and practical robotic design. His subsequent study, "Study and Experiment on Positioning Error of SCARA Robot Caused by Joint Clearance" (2017, 2 citations), extends this work through experimental validation, specifically targeting the positioning inaccuracies of SCARA robots—a common industrial arm. Though his citation counts are modest, Wu’s contributions are notable for their rigorous combination of analytical modeling and hands-on experimentation, making his research valuable for engineers seeking to enhance robot accuracy in manufacturing. His work exemplifies a meticulous approach to error characterization, laying groundwork for future advances in compliant and high-tolerance robotic systems.