Xiangwen Li
Papers
3
Total Citations
109
H-Index
3
About
Xiangwen Li is a leading researcher in intelligent robotic welding, specializing in vision-based seam tracking and automated welding guidance. His work addresses critical challenges in industrial manufacturing, particularly for complex structures like box girders and marine engineering equipment. Li’s major contributions include developing novel feature extraction methods for position detection and weld gap measurement in gas metal arc welding (GMAW) systems, enabling robots to adapt to variable weld gaps and surface conditions. He also pioneered a laser scanning displacement sensing technique for recognizing welding seam trajectories in spatially intermittent skip welding, significantly improving teaching programming efficiency and flexibility. His research on online extraction of pose information for 3D zigzag-line welding seams has overcome real-time performance limitations, advancing automation in heavy equipment production. With his most-cited papers accumulating over 100 citations, Li’s work has directly enhanced the precision and adaptability of robotic welding systems. His achievements are notable for bridging the gap between theoretical sensing algorithms and practical industrial applications, making him a key figure in the evolution of smart manufacturing and autonomous welding technologies.
Research Focus
Key Achievements
Top Papers
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