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About

Yusong Pang is a leading researcher in precision robotics, with a core focus on the dynamic modeling and control of hybrid robots for high-accuracy optical manufacturing. His work addresses the critical challenge of deterministic processing in precision optics, where even minute errors—whether static or dynamic—can compromise performance. Pang’s most influential paper, “Explicit dynamic modeling with joint friction and coupling analysis of a 5-DOF hybrid polishing robot” (2021), has garnered 39 citations, establishing a foundational framework for understanding how friction and coupling affect robotic precision. He further advanced this field with a novel deep learning-based spatio-temporal model (2024, 10 citations) that predicts pose residual errors, directly tackling the complex interplay of error sources in optical processing. His latest research (2025) investigates the impact of prismatic joint clearance on system dynamics, a critical factor for maintaining stability in mirror polishing. Through these contributions, Pang has not only deepened theoretical understanding but also provided practical tools for enhancing the accuracy and reliability of robotic systems in high-stakes optical applications, making him a key figure in the evolution of intelligent manufacturing.