Yilan Sun
Papers
1
Total Citations
4
H-Index
1
About
Yilan Sun’s research lies at the intersection of robotics, computer vision, and intelligent automation, with a particular focus on enhancing industrial sorting systems. Her most-cited work, “An application of vision technology on intelligent sorting system by delta robot” (2017, 4 citations), demonstrates a pioneering integration of visual modules with Delta parallel robots to create a vision-based sorting platform. Sun’s key contribution involves addressing the critical challenge of environmental interference—specifically illumination and noise—that degrades traditional grayscale matching algorithms. By developing robust vision processing techniques, she improved the accuracy and reliability of real-time object recognition and sorting, advancing the practical deployment of intelligent robotic systems in manufacturing and logistics. Though her citation count is modest, her work represents a foundational step in bridging computer vision with high-speed parallel robotics, offering a scalable solution for automated quality control. Sun’s research underscores the importance of sensor fusion and adaptive algorithms in industrial automation, making her a notable contributor to the field of intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1