Fangkai Xu
Papers
1
Total Citations
3
H-Index
1
About
Fangkai Xu is a researcher focused on advancing intelligent manufacturing and industrial robotics, with a particular emphasis on welding automation and machine vision. Their most-cited work introduces a novel hand-eye calibration method for welding robots equipped with end-mounted line structured light sensors. By leveraging structured light planes, Xu developed a calibration technique that precisely aligns the robot’s manipulator with its camera system—a critical step for enabling real-time, adaptive welding in complex industrial environments. This contribution addresses a fundamental bottleneck in intelligent welding: achieving accurate spatial perception without interrupting workflow. Though their top-cited paper has garnered 3 citations, it represents a targeted solution for a niche but impactful problem in manufacturing automation. Xu’s research sits at the intersection of robotics, computer vision, and industrial engineering, offering practical pathways for smarter, more flexible production lines. Their work is particularly relevant for researchers and engineers developing vision-guided robotic systems, where precision and efficiency are paramount. As industries push toward fully autonomous welding cells, Xu’s calibration method provides a foundational step toward that goal.
Research Focus
Key Achievements
Top Papers
- 1