Yanting Lou
Papers
1
Total Citations
3
H-Index
1
About
Yanting Lou is a researcher in automation and machine vision, with a focus on intelligent robotic manipulation systems for industrial applications. Their most-cited work, "A machine vision based sealing rings automatic grabbing and putting system" (2016, 3 citations), introduces a vision-guided robotic system that uses image processing to locate and orient sealing rings for automated assembly. This contribution addresses a practical challenge in manufacturing: enabling robots to handle deformable or irregularly placed components without manual intervention. By combining machine vision with robotic control, Lou's work demonstrates how low-cost vision systems can improve precision and efficiency in production lines. While the citation count reflects a niche but specialized audience, the research highlights a growing trend toward integrating computer vision with industrial robotics. Lou's contributions are particularly relevant for engineers and researchers working on smart factory automation, where reliable part recognition and grasping remain critical bottlenecks. Their work underscores the importance of bridging algorithmic vision techniques with real-world mechanical constraints, offering a template for similar automation tasks in small-parts assembly.
Research Focus
Key Achievements
Top Papers
- 1