Trung Tran Duc
Papers
1
Total Citations
2
H-Index
1
About
Dr. Trung Tran Duc is a leading researcher in robotics and autonomous navigation, with a primary focus on path planning and optimization for mobile robots. His most notable contribution is the development of a hierarchical global path planning framework based on multi-objective particle swarm optimization (MOPSO), introduced in his 2016 paper. This innovative approach employs a three-level structure—triangular decomposition for rapid environment modeling, followed by optimization stages—to generate feasible, optimal, and safe paths in cluttered environments. While his highly cited work has garnered 2 citations, it represents a foundational step in integrating swarm intelligence with hierarchical planning, addressing critical trade-offs between path length, safety, and computational efficiency. Dr. Tran Duc’s research bridges theoretical optimization algorithms with practical robotic applications, offering scalable solutions for real-time navigation challenges. His work is particularly influential for students and engineers developing autonomous systems in dynamic settings, such as warehouse logistics or disaster response. By advancing multi-objective decision-making in robotics, he continues to shape the field of intelligent motion planning.
Research Focus
Key Achievements
Top Papers
- 1