Lam Nhat Thai Tran
Papers
1
Total Citations
12
H-Index
1
About
Dr. Lam Nhat Thai Tran is a robotics researcher whose work focuses on motion planning and control for autonomous mobile robots, particularly those with nonholonomic constraints. His most cited paper, "A Shortest Smooth-path Motion Planning for a Mobile Robot with Nonholonomic Constraints" (2021), introduces a novel hybrid approach that integrates the RRT* algorithm, Potential Field method, and Dubin Curves to generate optimal, smooth trajectories. This work addresses fundamental challenges in path planning—balancing computational efficiency with kinematic feasibility—and has garnered 12 citations, demonstrating its relevance in the field. Dr. Tran’s contributions are significant for advancing autonomous navigation in constrained environments, with potential applications in warehouse logistics, service robotics, and autonomous driving. His research exemplifies the integration of sampling-based planning with geometric control to produce practical, real-world solutions. As a rising scholar, Dr. Tran’s work continues to influence the development of smarter, more efficient mobile robot systems, making him a notable figure in contemporary robotics research.
Research Focus
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Top Papers
- 1