Shengrun Xu
Papers
1
Total Citations
7
H-Index
1
About
Shengrun Xu is a researcher at the forefront of intelligent manufacturing and robotic automation, with a particular focus on spray path planning for complex surfaces. His most-cited work, "A Spray Path Planning Algorithm based on 3D Point Cloud" (2019, 7 citations), addresses a critical challenge in flexible manufacturing systems: how to efficiently generate adaptive spray trajectories for irregular geometries. Xu’s key contribution lies in developing a novel method that leverages 3D point cloud data from vision sensors to automatically determine optimal slicing directions, enabling precise coating application without manual programming. This approach significantly enhances flexibility and reduces setup time in automated production lines. While his citation count is still growing, his work represents an important step toward integrating computer vision with robotic path planning for real-world industrial applications. Xu’s research is particularly valuable for students and engineers exploring the intersection of sensor-based perception, computational geometry, and manufacturing automation—a field with immense potential for smart factories and customized production.
Research Focus
Key Achievements
Top Papers
- 1A Spray Path Planning Algorithm based on 3D Point Cloud7 citations · 2019