Xiaoyu Ni
Papers
1
Total Citations
22
H-Index
1
About
Xiaoyu Ni is a researcher at the forefront of intelligent manufacturing, specializing in laser welding automation and computer vision for industrial robotics. His work centers on the critical challenge of real-time weld seam tracking, a key bottleneck in achieving fully automated, high-precision welding processes. Ni’s most notable contribution is the development of a novel weld feature extraction method based on semantic segmentation networks, a deep learning approach that enables industrial robots to accurately identify and locate weld joints from visual data. This work, published in 2022, has already garnered 22 citations, underscoring its immediate relevance to the field. By bridging advanced computer vision with robotic control, Ni is helping to eliminate the need for manual programming in welding tasks, thereby boosting production efficiency and consistency. His research is particularly impactful for industries reliant on laser welding, from automotive manufacturing to aerospace, where precision and speed are paramount. Ni’s contributions are paving the way for smarter, more autonomous industrial systems.
Research Focus
Key Achievements
Top Papers
- 1Weld Feature Extraction Based on Semantic Segmentation Network22 citations · 2022