Papers
2
Total Citations
59
H-Index
2
About
Hai Yuan is a leading researcher in intelligent robotic welding, specializing in laser vision sensing and complex seam tracking for automated manufacturing. His work addresses a critical bottleneck in industrial robotics: enabling machines to autonomously navigate and weld three-dimensional, non-linear seams with high precision. Yuan’s major contributions include the development of a novel four-step seam tracking methodology, which systematically detects starting and ending points, extracts weld edges, and guides the welding torch in real time. His 2021 paper on this technique has garnered 40 citations, establishing a foundational approach for complex welding operations. Building on this, his 2023 study introduced a 3D tracking method for symmetrical robotic MAG welding, achieving 19 citations and demonstrating enhanced adaptability in multi-axis environments. Yuan’s research is pivotal for advancing automation in shipbuilding, aerospace, and automotive industries, where complex weld geometries are common. By integrating laser vision sensors with robust control algorithms, he has significantly improved welding accuracy and efficiency, reducing reliance on manual programming. His work continues to shape the future of intelligent manufacturing and collaborative robotics.
Research Focus
Key Achievements
Top Papers
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