Papers
3
Total Citations
12
H-Index
2
About
Dr. Xing Yuan is a pioneering researcher in the field of structural dynamics and robotics, with a specific focus on the identification and analysis of modal parameters in milling robots. Their key research areas include output-only mode shape identification, automatic frequency response function acquisition, and high-dimensional spatial modal parameter estimation. Dr. Yuan's major contributions lie in developing innovative methods to capture complete mode shapes of milling robot body structures using a limited number of current sensors, significantly reducing the need for extensive sensor arrays. Their work on regularized automatic frequency response function acquisition enables efficient characterization of robot dynamics across a high-dimensional workspace, while their recent studies on milling-excitation-based identification allow for real-time monitoring during cutting processes. With cumulative citations exceeding 12 across their most-cited papers, Dr. Yuan's research has immediate practical implications for improving robot precision and stability in manufacturing. Their notable achievement includes the development of a fully automated framework for modal parameter identification that operates under actual working conditions, bridging the gap between theoretical dynamics and industrial robotics applications. This work positions Dr. Yuan as a key contributor to advancing smart manufacturing and adaptive robotic systems.
Research Focus
Key Achievements
Top Papers
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