Papers
1
Total Citations
2
H-Index
1
About
Yi Yin is a researcher focused on industrial automation and robotics, with particular expertise in vision-based positioning systems. Their most notable contribution is the development of a bolt positioning system that integrates multieye vision technology with industrial robots, significantly enhancing precision in automated manufacturing processes. In their 2022 paper, Yi Yin systematically evaluated three reconstruction algorithms—ART, SIRT, and SART—from both theoretical and implementation perspectives, providing a comparative framework that advances the field of robotic vision. While their work has garnered 2 citations to date, it represents an important step toward improving accuracy in industrial robot applications, particularly in tasks requiring fine motor control and precise alignment. Yi Yin’s research bridges the gap between computer vision and industrial robotics, offering practical solutions for real-world manufacturing challenges. Their work contributes to the broader goal of making industrial automation more reliable and efficient, with potential applications in assembly lines and quality control systems.
Research Focus
Key Achievements
Top Papers
- 1