Yuwen Sun
Papers
14
Total Citations
576
H-Index
11
About
Yuwen Sun is a leading researcher in intelligent robotic machining, with a focus on free-form surface manufacturing, robotic welding, and collaborative robotic systems. Their work addresses critical challenges in precision and efficiency for industrial applications, particularly in aerospace and automotive sectors. Sun’s most cited paper, a 2021 state-of-the-art review on path and trajectory planning for free-form surface machining (172 citations), has become a foundational resource for researchers and engineers. They have also made significant contributions to robotic polishing of titanium alloys, developing a compliant force/position control system (51 citations) that enhances surface quality for complex curved parts. Sun’s recent work on dual-robot collaborative machining for thin-walled parts, including chatter prediction and stiffness-based deformation control, has garnered attention for its practical impact on manufacturing accuracy. With over 550 total citations and publications spanning 2015 to 2024, Sun’s research integrates vision sensing, modal analysis, and calibration techniques to advance automatic and intelligent robotic systems. Their notable achievements include pioneering methods for surface topography prediction and tool orientation planning, solidifying their reputation as a key innovator in robotic machining and manufacturing automation.
Research Focus
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