Haichao Li
Papers
2
Total Citations
47
H-Index
2
About
Haichao Li is a researcher specializing in intelligent welding manufacturing and computer vision, with a focus on real-time sensing and automation in industrial welding processes. His work addresses critical challenges in automatic tube-to-tubesheet welding, where precision and adaptability are paramount. Li’s most cited paper, "Online welding path detection in automatic tube-to-tubesheet welding using passive vision" (2016, 32 citations), introduced a novel vision-based method for real-time seam tracking, significantly improving welding accuracy without active illumination. He further advanced the field with "3D reconstruction of GMAW pool surface using composite sensor technology" (2018, 15 citations), which combined multiple sensor modalities to capture the three-dimensional geometry of the molten weld pool—a key step toward adaptive process control. These contributions have laid groundwork for more robust, automated welding systems in industries like shipbuilding and pressure vessel manufacturing. Li’s research bridges the gap between theoretical computer vision and practical manufacturing, offering tangible solutions for quality assurance and productivity. His work continues to influence both academic studies in welding automation and industrial implementations seeking to reduce human error and enhance weld integrity.
Research Focus
Key Achievements
Top Papers
- 1
- 23D reconstruction of GMAW pool surface using composite sensor technology15 citations · 2018