Yahui Gan

Papers

Total Citations

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About

Yahui Gan is a robotics researcher whose work centers on the control and dynamics of industrial and collaborative robotic systems. Their research addresses two critical challenges in modern robotics: improving the intuitiveness of human-robot interaction and enhancing the precision of robot motion control. In their 2021 study on drag control algorithms for cooperative robots, Gan investigated torque compensation strategies to refine the teaching experience in collaborative robot programming, critically evaluating the comparative advantages and limitations of existing joint current feedback approaches. Complementing this, their 2022 work on dynamics parameter identification introduced an immune algorithm-based integral identification method, tackling one of the most technically demanding problems in robot motion control — obtaining accurate dynamic parameters essential for reliable robot performance. Both papers have garnered 2 citations each, reflecting emerging recognition within the robotics research community. Gan's contributions are particularly relevant to the fields of industrial automation and human-robot collaboration, where precise motion control and accessible programming interfaces are increasingly vital. Their work offers practical insights for engineers and researchers developing next-generation robotic systems in manufacturing and collaborative environments.