Papers
2
Total Citations
4
H-Index
2
About
Zhe Xie is a leading researcher in intelligent construction and robotic automation for tunnel boring engineering, with a primary focus on visual perception and precision measurement for shield machine maintenance. His work addresses the critical challenge of enabling autonomous disc cutter replacement in harsh underground environments, where low illumination, dust, and debris severely compromise conventional vision systems. Xie’s major contributions include developing a high-precision segmentation method based on an improved UNet architecture, which achieves robust identification of disc cutter holders under adverse conditions, and an advanced monocular-vision-based pose measurement technique that enhances the accuracy of robotic positioning. Despite the niche and highly specialized nature of his field, his foundational papers have each garnered 2 citations, reflecting early recognition from peers tackling similar industrial automation problems. Xie’s research bridges the gap between computer vision and heavy machinery, offering practical solutions that could significantly reduce human risk and downtime in shield tunneling operations. His work is particularly notable for its direct application to real-world robotic systems, marking him as a key contributor to the future of underground construction automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2