Papers
2
Total Citations
59
H-Index
2
About
Yueyu Wu is a leading researcher in intelligent robotic welding and laser vision sensing, with a primary focus on automated seam tracking for complex welding applications. His work addresses a critical challenge in modern manufacturing: enabling welding robots to autonomously follow three-dimensional, non-linear welding paths with high precision. Wu’s major contributions include the development of a novel four-step seam tracking technique that systematically detects starting and ending points, extracts weld edge features, and guides the welding torch along the seam path. His 2021 paper on this method has garnered 40 citations, establishing a foundation for subsequent advances. In 2023, he extended this work to symmetrical robotic Metal Active Gas (MAG) welding processes, achieving robust 3D seam tracking using laser vision sensors—a paper that has already earned 19 citations. Wu’s innovations are pivotal for industries requiring automated welding of complex geometries, such as automotive and shipbuilding. By integrating real-time sensing with adaptive control, his research significantly enhances welding quality, reduces human intervention, and pushes the boundaries of intelligent manufacturing.
Research Focus
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Top Papers
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