Xiaomei Qi
Papers
1
Total Citations
19
H-Index
1
About
Xiaomei Qi is a leading researcher in advanced manufacturing and robotic welding, with a focus on real-time process monitoring and control. Her work centers on the development of novel image segmentation and structured light techniques to measure the geometry of the weld pool surface—a critical factor for ensuring weld penetration quality in robotic arc welding. Her most cited paper, "Image Segmentation Approaches for Weld Pool Monitoring during Robotic Arc Welding" (2018, 19 citations), demonstrates a strong correlation between weld pool surface geometry and penetration depth, proposing robust laser-based monitoring systems to overcome challenges posed by specular surfaces. This contribution has significant implications for automating quality assurance in high-precision manufacturing. Qi’s research bridges computer vision, sensor fusion, and industrial robotics, enabling more reliable and adaptive welding processes. Her work is widely referenced by engineers and researchers developing intelligent welding systems, and she continues to advance the field through innovative approaches to non-destructive evaluation and real-time feedback control.
Research Focus
Key Achievements
Top Papers
- 1