Duy Nguyen Duc

Papers

Total Citations

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About

Duy Nguyen Duc is a robotics researcher whose work sits at the intersection of autonomous navigation, control systems, and artificial intelligence. His primary contributions lie in developing intelligent navigation frameworks for omnidirectional mobile robots—vehicles capable of moving in any direction without turning. In his highly cited 2020 paper (28 citations), Duc designed a navigation system based on the Robot Operating System (ROS), providing a modular and scalable architecture for real-world deployment. He further advanced the field by integrating deep reinforcement learning into autonomous navigation (22 citations), enabling robots to learn optimal paths in dynamic environments without explicit programming. His work on machine learning models for dynamic path planning (5 citations) addresses the practical challenges of Industry 4.0, where autonomous transportation must adapt to changing factory floors and warehouse layouts. With over 55 combined citations on these key works, Duc’s research demonstrates a clear trajectory from foundational ROS-based control to cutting-edge learning-based autonomy. His contributions are particularly relevant for students and engineers interested in building cost-effective, intelligent mobile robots that can operate safely and efficiently in human-centric spaces.