Thanh‐Truong Nguyen

Vietnam National University Ho Chi Minh City

Papers

Total Citations

H-Index

About

Thanh-Truong Nguyen is a robotics researcher whose work focuses on intelligent automation, computer vision, and mobile robot navigation. His major contributions lie in developing practical, low-cost solutions for industrial robotics, particularly in addressing the challenge of grasping moving objects with incomplete visual information. In his highly cited 2024 paper, Nguyen proposed a novel method using contour matching based on Hu moments to enable a low-cost robot production line to accurately grasp workpieces even when parts of the object are out of the camera's field of view due to conveyor speed and processing delays. This work, garnering 10 citations, demonstrates his ability to solve real-world industrial constraints with elegant computational approaches. Additionally, Nguyen has explored indoor navigation for mobile robots using proxemics principles within the Robot Operating System (ROS), contributing to human-aware robot movement. His research is characterized by its practical orientation, combining theoretical insight with hardware limitations to create robust, deployable systems. Nguyen's work is particularly valuable for students and researchers interested in affordable automation, vision-based grasping, and socially-aware robot navigation.