Papers
1
Total Citations
4
H-Index
1
About
Thien Tran Duc is a robotics researcher focused on motion planning and autonomous navigation for mobile robots. His most-cited work, "An Optimal Smooth-Path Motion Planning Method for a Car-like Mobile Robot" (2023, 4 citations), introduces a novel hybrid approach that integrates a genetic algorithm, potential field method, and Dubins curves to generate the shortest, most feasible, and smooth paths for car-like robots in global environments. This contribution addresses critical challenges in robotics—balancing path optimality with kinematic constraints—and has practical implications for autonomous vehicles and warehouse logistics. While early in his career, Tran Duc's work demonstrates a strong foundation in optimization and control theory, with potential for significant impact as the field of autonomous navigation continues to grow. His research is particularly relevant for students and engineers seeking efficient, real-world solutions for mobile robot path planning.
Research Focus
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Top Papers
- 1