Le Minh Duc

Ho Chi Minh City University of Technology

Papers

Total Citations

H-Index

About

Le Minh Duc is a researcher focused on intelligent robotics and computer vision, with a particular emphasis on industrial automation and bin-picking applications. His work addresses the critical challenge of enabling robots to recognize and manipulate objects in cluttered, unstructured environments—a key bottleneck in modern manufacturing. His most-cited paper, "Planar Object Recognition For Bin Picking Application" (2018), presents a novel two-stage vision-based system that combines 3D localization with Euclidean segmentation to identify flat, uniformly colored objects that are partially occluded within a bin. This contribution has garnered 5 citations, reflecting its practical relevance to assembly line automation. Duc’s research integrates 3D data processing, object recognition, and robotic manipulation, offering solutions that bridge the gap between computer vision algorithms and real-world industrial deployment. His work is particularly valuable for students and engineers seeking to understand how vision systems can be optimized for high-speed, reliable part picking in manufacturing contexts. By tackling the complexities of occlusion and color uniformity, Duc advances the feasibility of fully automated bin-picking systems.