Yue-Feng Li
Papers
1
Total Citations
3
H-Index
1
About
Yue-Feng Li is a researcher whose work centers on advanced manufacturing and robotic machining, with a particular focus on addressing the challenges of complex component processing. His key research areas include robotic belt grinding, multi-objective optimization, and the planning of machining postures for parts with restricted tool accessibility. Li’s major contribution is the development of a systematic framework for optimizing robotic grinding paths and postures, enabling precise and efficient finishing of intricate geometries—such as turbine blades or aerospace components—where conventional methods fail. His 2025 paper, “Multi-objective planning of machining postures for robotic belt grinding of complex components with narrow tool-accessible space,” has already garnered 3 citations, signaling early recognition for its practical impact on reducing manual labor and improving surface quality in industrial settings. This work stands out for integrating geometric constraints with process parameters, offering a blueprint for automated, high-precision manufacturing. Li’s research bridges the gap between theoretical optimization and real-world robotic applications, making him a notable contributor to the field of intelligent manufacturing.
Research Focus
Key Achievements
Top Papers
- 1