Ba-Long Tran

Hanoi University of Science and Technology

Papers

Total Citations

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About

Dr. Ba-Long Tran is a leading researcher in mobile robotics and autonomous navigation, with a primary focus on developing efficient path planning algorithms. His most impactful work introduces a groundbreaking approach to mobile robot path planning based on the Rapidly-exploring Random Tree (RRT) algorithm. In his highly cited 2023 study, Dr. Tran proposed a novel method that integrates a general-purpose pseudorandom number generator into the RRT structure to enhance state tree expansion, alongside a distance restriction mechanism that significantly reduces the number of unnecessary exploration nodes. This innovation improves both the speed and reliability of route generation in complex environments. With 12 citations for this single paper, his contributions are gaining recognition for advancing real-time navigation solutions. Dr. Tran’s work is particularly valuable for autonomous systems operating in dynamic or cluttered settings, and his research continues to influence the development of more adaptive and computationally efficient robotic pathfinding techniques.