Lesheng Yu

Papers

Total Citations

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About

Lesheng Yu is a leading researcher in intelligent manufacturing, specializing in robotic welding automation and visual sensing technologies. His work addresses critical challenges in real-time weld defect detection and seam tracking, particularly in high-temperature, high-pressure environments like gas metal arc welding (GMAW) of galvanized steel. Yu’s most cited paper, "Monitoring of weld defects of visual sensing assisted GMAW process with galvanized steel" (2021, 37 citations), pioneers methods to overcome interference from zinc vapor, enabling accurate defect detection for robotic systems. Another influential study, "Discerning Weld Seam Profiles from Strong Arc Background for the Robotic Automated Welding Process via Visual Attention Features" (2020, 20 citations), introduces innovative visual attention features to extract weld seam profiles from intense arc glare, a breakthrough for thick steel plate welding. These contributions have significantly advanced the precision and reliability of automated welding in manufacturing, with his work cited over 57 times, reflecting its impact on both academic research and industrial applications. Yu’s achievements underscore his role in bridging computer vision and robotic welding, offering practical solutions for smart factories.