Chen Yuecheng

Papers

Total Citations

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About

Chen Yuecheng’s research centers on intelligent robotic systems for advanced manufacturing, with a particular focus on teleoperation and hybrid robots for handling complex industrial tasks. His most cited work introduces a master-slave robot system designed for the safe and efficient removal of residual features—such as parting lines and risers—on medium and large casting parts, which are notoriously challenging due to their random size, shape, and distribution. The system pairs a high-stiffness, high-flexibility five-degree-of-freedom hybrid robot as the slave with a three-degree-of-freedom parallel robot as the master, enabling intuitive, force-feedback teleoperation. A key contribution is the development of a parameterized, online-adjustable forbidden region virtual fixture (FRVF) to prevent over-machining caused by jitter or communication delays, alongside an incremental position-following and artificial potential field control model for precise guidance. Though early in his citation trajectory (2 citations for this 2022 paper), the work demonstrates significant practical impact by addressing a critical gap in automated casting finishing. Chen’s achievements highlight his expertise in merging robotics, control theory, and manufacturing, offering a scalable solution for high-mix, low-volume production environments—a valuable contribution for researchers and engineers in industrial robotics and intelligent manufacturing.