Gaoyang Li

Papers

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About

Gaoyang Li is a researcher advancing intelligent robotic welding systems, with a primary focus on laser vision sensing and automated trajectory recognition for complex industrial applications. His most cited work, "Welding Seam Trajectory Recognition for Automated Skip Welding Guidance of a Spatially Intermittent Welding Seam Based on Laser Vision Sensor" (2020, 37 citations), addresses critical challenges in teaching programming efficiency and flexibility for robot welding of complex box girder structures. Li proposed a novel method using laser scanning displacement sensing to enable automated torch guidance during skip welding of spatially intermittent seams, significantly reducing manual intervention while improving precision. This contribution has practical implications for heavy manufacturing, where structural complexity often limits automation. Li's research bridges the gap between sensor-based perception and adaptive robotic control, offering solutions for real-time seam tracking in non-continuous welding paths. His work continues to influence the development of intelligent manufacturing systems, particularly in industries requiring high-accuracy welding of irregular geometries. With growing citation impact, Li is establishing himself as a key contributor to the field of automated welding and robotic vision guidance.