Papers
1
Total Citations
4
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About
Shoujian Yu is a leading researcher in intelligent manufacturing and robotic precision machining, with a particular focus on the automated grinding and finishing of complex, multi-scale components. His work addresses a critical bottleneck in modern manufacturing: the transition from rigid, manual processes to flexible, data-driven robotic systems. Yu’s major contribution lies in pioneering the integration of 3D point cloud perception with robotic grinding, enabling machines to adaptively process freeform surfaces with micron-level accuracy. His landmark review, "Robotic grinding technology of multi-scale complex components based on 3D point clouds: a review" (2025), has already garnered 4 citations, establishing a foundational framework for the field. By synthesizing advances in sensor fusion, path planning, and force control, Yu has provided a roadmap for achieving both high efficiency and surface quality in industries such as aerospace and mold manufacturing. His work is notable for bridging the gap between theoretical robotics and practical industrial application, making him a key figure in the next generation of smart manufacturing.
Research Focus
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Top Papers
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