Xue Kunxi
Papers
2
Total Citations
65
H-Index
2
About
Xue Kunxi is a leading researcher in intelligent robotic welding, with a primary focus on vision-based sensing and human-machine interaction for advanced manufacturing. His most impactful work, "Robotic seam tracking system based on vision sensing and human-machine interaction for multi-pass MAG welding" (2020), has garnered 60 citations, establishing a foundational framework for adaptive, real-time weld seam correction in complex multi-pass processes. This contribution addresses a critical industry challenge—achieving precision in automated welding despite variable joint geometries and thermal distortion. Xue’s earlier study, "Robotic Weld Seam Correction Control System Based on Visual Sensing" (2019), further refined the integration of visual feedback for closed-loop control, demonstrating his sustained commitment to enhancing robotic autonomy and reliability. By combining sensor fusion with intuitive human-machine interfaces, his work bridges the gap between full automation and operator oversight, offering practical solutions for high-stakes applications in aerospace, automotive, and heavy machinery fabrication. Xue Kunxi’s research not only advances the technical frontier of intelligent manufacturing but also provides a scalable pathway for deploying adaptive robotics in real-world industrial environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robotic Weld Seam Correction Control System Based on Visual Sensing5 citations · 2019