Peiquan Xu

Shanghai University of Engineering Science, Shanghai Jiao Tong University

Papers

Total Citations

101

H-Index

About

Peiquan Xu is a leading figure in intelligent robotic welding systems, with a primary research focus on computer vision, laser sensing, and automated seam tracking for arc welding. His most significant contribution is the development of a visual seam tracking system that integrates a circular laser vision sensor, enabling real-time, three-dimensional detection and location of weld seams. This work, detailed in his highly cited 2007 paper (90 citations), established a foundational method for enhancing welding robot autonomy and precision. Xu further advanced the field by creating mathematical models for circular laser scanning systems, applying laser triangulation and the Scheimpflug condition to improve 3D calculation accuracy. His research addresses critical challenges in industrial automation, including image de-noising, segmentation, and thinning for robust seam recognition. By pioneering the use of circular laser trajectories for depth measurement and off-axis angle correction, Xu has directly contributed to more reliable and intelligent welding processes. His work remains essential reading for researchers developing next-generation robotic welding systems and laser-based vision sensors for manufacturing.