Papers
2
Total Citations
37
H-Index
2
About
Hoang Minh Tri is a leading researcher in intelligent control systems, with a primary focus on reinforcement learning-based approaches for autonomous mobile robotics. His work centers on developing advanced tracking control algorithms for wheeled mobile robots, addressing fundamental challenges in non-holonomic system dynamics and multi-robot coordination. Tri’s most influential contribution is his 2014 paper on reinforcement learning-based intelligent tracking control for wheeled mobile robots, which has garnered 30 citations. This work pioneered a novel actor-critic architecture that enables integrated kinematic and dynamic control without requiring prior knowledge of the system’s drift tracking dynamics—a significant advancement in model-free control theory. Building on this foundation, his 2013 paper on robust adaptive tracking control for multi-wheeled mobile robot synchronization (7 citations) extended these principles to multi-agent systems, introducing optimality constraints within communication graphs. Tri’s research has profound implications for autonomous navigation, warehouse logistics, and collaborative robotics, demonstrating how reinforcement learning can achieve both stability and optimality in complex, uncertain environments. His work continues to influence the development of intelligent, adaptive control systems for next-generation mobile robots.
Research Focus
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