Papers
1
Total Citations
62
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1
About
Dr. Boce Xue is a leading researcher in intelligent robotic welding and computer vision, with a focus on automated seam tracking and joint detection for manufacturing. His pioneering work addresses critical challenges in precision welding, particularly for narrow butt joints where traditional structured light methods fall short. His most cited paper, "A Vision Based Detection Method for Narrow Butt Joints and a Robotic Seam Tracking System" (2019, 62 citations), introduces a novel vision-based approach that enables robots to autonomously detect and track narrow seams, significantly enhancing welding accuracy and efficiency. This contribution has been instrumental in advancing robotic automation for complex industrial applications, reducing the need for manual teaching and improving weld quality. Dr. Xue’s research bridges the gap between computer vision and robotics, offering practical solutions for real-world manufacturing challenges. With a growing citation record, his work continues to influence the development of intelligent welding systems, making him a notable figure in the field of automated manufacturing and robotic control.
Research Focus
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Top Papers
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