Fengjing Xu
Papers
7
Total Citations
311
H-Index
5
About
Fengjing Xu is a leading researcher in intelligent robotic welding, whose work is transforming how machines perceive and execute complex welding tasks. His core research areas span laser vision sensing, autonomous seam tracking, and multi-layer multi-pass welding for medium-thickness plates. Xu’s most impactful contribution is his comprehensive review on sensing technology in intelligent robotic arc welding, which has garnered 159 citations and serves as a foundational reference for the field. He has developed several novel methods for automated weld seam feature point extraction, including the LSFP-Tracker—a Siamese network-based algorithm that dramatically improves the flexibility and accuracy of laser stripe tracking in robotic welding. His work on binocular cooperation for visual guidance and touch sensing for high-precision grinding of curved seams further demonstrates his commitment to bridging perception and action in manufacturing. With over 300 total citations and a steady stream of high-impact publications from 2021 to 2025, Xu is shaping the future of autonomous welding, making it more adaptive, precise, and intelligent for industrial applications.
Research Focus
Key Achievements
Top Papers
- 1Application of sensing technology in intelligent robotic arc welding: A review159 citations · 2022
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