Xinyu Suo

Papers

Total Citations

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About

Xinyu Suo is a leading researcher in intelligent robotic welding and computer vision, with a primary focus on advancing automated manufacturing through 3D sensing technologies. His most-cited work, "Universal fillet weld joint recognition and positioning for robot welding using structured light" (2021, 83 citations), introduces a groundbreaking method for real-time weld joint detection and spatial localization. This contribution addresses a critical bottleneck in industrial robotics—enabling robots to autonomously identify and track complex weld geometries without manual programming. By integrating structured light systems with deep learning algorithms, Suo’s approach significantly improves welding accuracy and efficiency, reducing setup time and error rates in production environments. His research has direct implications for shipbuilding, automotive assembly, and heavy machinery fabrication, where precise weld quality is paramount. Beyond this flagship paper, Suo’s work consistently bridges the gap between theoretical computer vision and practical robotic applications, earning recognition for its industrial scalability. With a growing citation impact, he is establishing himself as a key figure in smart manufacturing, inspiring further innovations in adaptive robotic systems for unstructured environments.