Duc Trung Tran

Hanoi University of Science and Technology

Papers

Total Citations

852

H-Index

About

Duc Trung Tran is a leading researcher in robotics and autonomous navigation, whose work has profoundly shaped modern path planning methodologies. His research primarily focuses on heuristic and swarm intelligence-based approaches for mobile robot motion, with a strong emphasis on optimizing both global and local trajectory generation. Tran’s most influential contribution is the comprehensive survey "Heuristic approaches in robot path planning: A survey" (2016), which has garnered over 630 citations, serving as a foundational reference for scholars and engineers seeking to understand classical and emerging heuristic techniques. Building on this, his 2017 paper introduced a hierarchical global path planning framework using multi-objective particle swarm optimization, a work cited over 220 times for its innovative integration of multi-objective trade-offs into real-time navigation. This approach significantly advanced the field by enabling robots to balance competing goals such as path length, safety, and energy efficiency. Tran’s impact is evident in the widespread adoption of his methods in autonomous vehicles, warehouse robotics, and search-and-rescue systems. His clear, systematic contributions continue to inspire new generations of researchers tackling complex motion planning challenges.