Lam Ngoc Bich
Papers
1
Total Citations
2
H-Index
1
About
Lam Ngoc Bich is a robotics researcher whose work focuses on advancing industrial automation through innovative computer vision and control systems. Her primary research areas include 3D object matching, visual servoing, and bin picking applications—critical technologies for modern manufacturing and logistics. In her most cited work, "Combining 3D matching and image moment based visual servoing for bin picking application" (2022), Bich developed a novel hybrid approach that integrates geometric 3D matching with image moment-based visual servoing to enhance the precision and reliability of robotic bin picking. This contribution addresses a longstanding challenge in unstructured environments, where robots must accurately grasp randomly oriented objects. While her citation count (2) reflects the early stage of her career, the work demonstrates significant potential for real-world impact in automated warehouses and assembly lines. Bich’s research bridges theoretical control algorithms with practical robotic systems, offering a pathway toward more adaptable and efficient industrial robots. Her ongoing work promises to further refine vision-guided manipulation, making her a rising voice in the field of robotic perception and automation.
Research Focus
Key Achievements
Top Papers
- 1