Lei Xiao
Papers
1
Total Citations
4
H-Index
1
About
Lei Xiao is a researcher at the forefront of intelligent robotics and computer vision, with a specialized focus on applying deep learning to industrial automation and textile manufacturing. His work centers on real-time instance segmentation, particularly for garment processing, where he has developed highly efficient neural network architectures. Xiao’s major contribution is the integration of the YOLOv11 (You Only Look Once version 11) framework into robotic tie-dye systems, enabling precise, real-time identification and segmentation of fabric pieces. This innovation significantly enhances the speed and accuracy of automated textile production, reducing waste and manual labor. His most-cited paper, "Efficient real-time instance segmentation of garment for intelligent robot tie-dye based on you only look once version 11 network" (2025), has already garnered 4 citations, reflecting its immediate relevance to both academia and industry. By bridging state-of-the-art object detection with practical manufacturing challenges, Lei Xiao is driving the next generation of smart factories, where robots can adaptively handle complex, deformable materials—a critical step toward fully autonomous production lines.
Research Focus
Key Achievements
Top Papers
- 1