Trung Kien Nguyen
Papers
1
Total Citations
4
H-Index
1
About
Dr. Trung Kien Nguyen is a robotics researcher whose work centers on motion planning and autonomous navigation for mobile robots. His key contributions lie in developing optimal path-planning algorithms that balance efficiency, safety, and feasibility. His most cited work, "An Optimal Smooth-Path Motion Planning Method for a Car-like Mobile Robot" (2023), introduces a novel hybrid approach that integrates a genetic algorithm, potential field method, and Dubins curves. This method addresses the critical challenge of generating the shortest, collision-free, and dynamically feasible path for car-like robots in global environments. By combining global optimization with local obstacle avoidance and smooth-curve generation, Nguyen’s research offers a practical solution for real-world autonomous systems. While his citation count is still growing, his work represents a meaningful step toward more robust and efficient robotic navigation. Dr. Nguyen’s contributions are particularly relevant for students and researchers interested in the intersection of optimization algorithms, control theory, and autonomous vehicle design, providing a foundation for further advancements in intelligent transportation and service robotics.
Research Focus
Key Achievements
Top Papers
- 1