Yi Hui Low
Papers
1
Total Citations
3
H-Index
1
About
Yi Hui Low is a researcher whose work sits at the intersection of robotics, machine vision, and automation. Her most cited paper, "Integrating Vision System to a Pick and Place Cartesian Robot" (2021, 3 citations), addresses a critical challenge in industrial sorting: the failure of object recognition due to inconsistent lighting or object orientation. By developing a machine vision algorithm that enables a Cartesian robot to identify and sort objects in real time, Low demonstrated how vision-guided robotics can enhance precision and reliability in automated manufacturing. This contribution is particularly valuable for small-scale production lines seeking cost-effective automation solutions. While her citation count is modest, her work represents a practical, hands-on approach to integrating computer vision with robotic control—a key step toward smarter, more adaptive factory systems. Low’s research is a clear example of how even targeted, application-driven studies can push the boundaries of what autonomous systems can achieve in real-world settings.
Research Focus
Key Achievements
Top Papers
- 1Integrating Vision System to a Pick and Place Cartesian Robot3 citations · 2021