An-Tri Nguyen
Papers
1
Total Citations
2
H-Index
1
About
An-Tri Nguyen is a robotics researcher specializing in motion planning and autonomous navigation, with a focus on optimizing path efficiency for constrained robotic systems. His work addresses the critical challenge of generating smooth, collision-free trajectories for robots with minimum turning radius constraints, such as autonomous vehicles and mobile manipulators. In his most-cited paper, "A Hybrid Multi-waypoints Path Planning System for Robots with Minimum Turning Radius Constraint Using GA-B-Spline and Dubins Interpolation" (2022), Nguyen introduces a novel hybrid approach that combines genetic algorithms (GA) with B-spline curves and Dubins interpolation to produce feasible, curvature-continuous paths through multiple waypoints. This method significantly reduces computational complexity while ensuring adherence to kinematic constraints, offering a practical solution for real-time applications. Although his citation count is still growing, his work has been recognized for bridging theoretical path planning with real-world robotic constraints, laying groundwork for future advances in autonomous navigation. Nguyen’s contributions are particularly valuable for students and researchers exploring optimization-based motion planning, as his hybrid framework demonstrates how evolutionary algorithms can be effectively integrated with geometric interpolation to solve complex, multi-constraint path planning problems.
Research Focus
Key Achievements
Top Papers
- 1