Papers
2
Total Citations
6
H-Index
2
About
Duc-Huy Pham is a robotics researcher specializing in motion planning and control for autonomous mobile robots. His work focuses on developing optimal, safe, and efficient navigation strategies for wheeled robots operating in complex environments. In his highly cited 2023 paper, "An Optimal Smooth-Path Motion Planning Method for a Car-like Mobile Robot," Pham introduced a novel hybrid approach that integrates a genetic algorithm (GA) with potential field (PF) methods and Dubins curves to generate the shortest, most feasible global paths. This work has garnered 4 citations, establishing a foundation for smooth-path generation in constrained settings. Expanding on this, his paper "Development of Path Tracking and Obstacle Avoidance based on an Advanced Potential Field Controller" (2023, 2 citations) presents an innovative controller that seamlessly merges path tracking with real-time obstacle avoidance for differential drive robots, enhancing both stability and safety during autonomous operation. Pham's contributions address critical challenges in mobile robotics—balancing path optimality with dynamic obstacle response—making his research valuable for applications in warehouse automation, autonomous vehicles, and service robotics. His work continues to influence the development of more intelligent and reliable navigation systems.
Research Focus
Key Achievements
Top Papers
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