Ngoc Duy Hung Nguyen
Papers
2
Total Citations
9
H-Index
2
About
Ngoc Duy Hung Nguyen is a robotics researcher whose work centers on advancing industrial automation through intelligent vision-guided manipulation. His primary research areas include bin picking, 3D scanning systems, and the integration of computer vision with industrial manipulators. Nguyen’s major contributions lie in developing cost-effective and scalable solutions for the classic bin-picking problem—where a robot must retrieve randomly oriented objects from a bin. Notably, his 2022 paper proposes a low-cost 2D vision system that reduces reliance on expensive 3D RGB-D cameras, making bin-picking more accessible for industrial deployment. In a complementary study, he designed a structured-light-based 3D scanning system using Gray code and phase-shifting patterns, enabling precise object localization for robotic grasping. While his citation counts are currently modest (5 and 4 citations for his top papers), these works represent foundational steps toward practical, vision-driven automation. Nguyen’s research addresses a critical bottleneck in manufacturing—bridging the gap between high-cost, complex vision systems and the need for reliable, scalable robotic solutions. His work is particularly relevant for students and engineers interested in affordable automation, sensor integration, and the future of smart manufacturing.
Research Focus
Key Achievements
Top Papers
- 1
- 2