Papers

1

Total Citations

10

H-Index

1

About

Wang Hui’s research centers on intelligent robotic machining, with a particular focus on the precision processing of complex curved surfaces. His major contribution lies in developing advanced pose optimization and tool path planning methods for robotic grinding, addressing critical challenges such as motion smoothness and tool-workpiece interference. In his most cited work (2022, 10 citations), he proposed a novel planning approach that constrains grinding pose variations and smoothly adjusts tool orientations at interference points, significantly improving machining accuracy and surface quality. This work is notable for integrating both geometric and kinematic considerations, moving beyond traditional curvature-based path planning. While his citation count is still growing, Wang Hui’s research is highly relevant for industries requiring high-precision robotic finishing, such as aerospace and mold manufacturing. His achievements demonstrate a strong potential for impact in the field of intelligent manufacturing and robotic automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Pose Optimization and Tool Path Planning for Robotic Grinding of Complicated Curved Surface
10 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Huazhong University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago