Chuannen Wei

Guilin University of Electronic Technology

Papers

Total Citations

H-Index

About

Chuannen Wei is a leading researcher in intelligent manufacturing and robotic welding systems, with a primary focus on laser vision sensing and weld seam recognition. His work addresses critical challenges in automated welding, particularly the precise identification and 3D reconstruction of narrow and fillet weld joints—a key bottleneck in modern manufacturing. Wei’s most cited paper, "Multiple weld seam laser vision recognition method based on the IPCE algorithm" (2022, 38 citations), introduces a novel algorithm that significantly enhances the accuracy and robustness of multi-weld detection, enabling more reliable robot guidance. In "Narrow Weld Joint Recognition Method Based on Laser Profile Sensor" (2022, 17 citations), he tackles the difficulty of detecting deformations in tight joint spaces, advancing the practical deployment of intelligent welding in shipbuilding and vehicle engineering. His more recent work, "Feature Point Identification in Fillet Weld Joints Using an Improved CPDA Method" (2023), further refines feature extraction for complex joint geometries. With a growing citation impact, Wei’s contributions are pivotal to the evolution of vision-guided welding robots, directly supporting the shift toward fully automated, high-precision manufacturing systems.