Wenlei Sun
Papers
5
Total Citations
82
H-Index
4
About
Dr. Wenlei Sun is a leading researcher in intelligent manufacturing and robotic remanufacturing, with a focus on laser cladding, trajectory planning, and human-robot interaction. Her work addresses critical challenges in the automated repair of complex curved surface parts, a high-value area for industrial sustainability. Her most cited paper, "Research on trajectory planning of complex curved surface parts by laser cladding remanufacturing" (2018, 46 citations), established a foundational method for transforming part models into precise, layered toolpaths using STL files. She has since advanced the field by integrating deep reinforcement learning for visual path-following in industrial robots (2022, 17 citations), enabling adaptive, skill-based automation. Dr. Sun’s recent innovations include a digital twin-driven virtual-reality fusion control platform (2025, 5 citations) that lowers programming barriers, and a motion capture and augmented-reality-assisted system for surface reconstruction and robotic remanufacturing (2024, 3 citations). These contributions bridge the gap between complex manufacturing processes and accessible, intelligent robotic control, positioning her work at the forefront of smart remanufacturing and Industry 4.0.
Research Focus
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Top Papers
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