Papers
1
Total Citations
9
H-Index
1
About
Xinyu Yan is a leading researcher in intelligent manufacturing and robotic vision, with a focus on automating quality control in industrial environments. Their most cited work, "A Novel Robotic-Vision-Based Defect Inspection System for Bracket Weldments in a Cloud–Edge Coordination Environment" (2023, 9 citations), addresses a critical challenge in automotive production: the interference of arc-welding fumes and toxic gases with traditional inspection methods. By integrating robotic vision with cloud-edge computing, Yan developed a system that enables real-time, in-situ defect detection, eliminating the need for separate manual checkpoints and improving both worker safety and production efficiency. This contribution bridges the gap between automated welding and intelligent inspection, offering a scalable solution for smart factories. Yan’s research has significant implications for reducing health risks in manufacturing while enhancing quality assurance. With a growing citation record, their work is gaining traction among engineers and researchers seeking to deploy AI-driven inspection systems in harsh industrial settings. Yan continues to advance the field by exploring edge-based analytics and collaborative robotics for next-generation manufacturing.
Research Focus
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Top Papers
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