Papers
1
Total Citations
4
H-Index
1
About
Yafei Wang is a researcher specializing in robotics, trajectory planning, and intelligent manufacturing, with a particular focus on precision grinding processes. His most notable contribution is the development of a novel robot trajectory planning method for gear chamfer grinding, which integrates multi-objective collaborative optimization with quintic B-spline interpolation algorithms. This work addresses the critical challenge of balancing machining efficiency, surface quality, and tool wear in automated grinding operations, offering a robust solution for high-precision industrial applications. Wang's research has garnered early recognition, with his 2025 paper accumulating 4 citations, signaling growing interest from the robotics and manufacturing communities. His approach stands out for its ability to generate smooth, continuous tool paths that minimize vibration and improve surface finish, directly impacting the production of gears used in automotive and aerospace industries. By combining optimization theory with practical interpolation techniques, Wang has contributed to advancing the state of the art in robotic machining, making his work a valuable reference for engineers and researchers seeking to enhance automation in complex manufacturing tasks.
Research Focus
Key Achievements
Top Papers
- 1