Zhenfei Shi
Papers
2
Total Citations
47
H-Index
2
About
Zhenfei Shi is a leading researcher in intelligent robotic machining and precision manufacturing, with a focus on the dynamic behavior and process optimization of multi-robot systems. His work addresses critical challenges in machining complex, thin-walled components—such as directional plexiglas and aerospace parts—by integrating cutter dynamical displacement modeling with surface topography prediction. Shi’s 2022 paper on predicting surface topography in robotic milling has garnered 33 citations, establishing a foundational method for improving surface quality in flexible robotic operations. He further advanced the field with a synchronous feedrate scheduling strategy for dual-robot machining of variable-thickness surfaces, a 14-cited contribution that enhances efficiency and accuracy in collaborative robotic tasks. By bridging tool dynamics, process planning, and real-time control, Shi’s research directly impacts high-value industries like aerospace and automotive manufacturing. His work is distinguished by its practical, data-driven approach to solving real-world machining problems, making him a key figure in the evolution of smart, adaptive robotic manufacturing systems.
Research Focus
Key Achievements
Top Papers
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