Nguyen Thi Phuong Ha
Papers
1
Total Citations
5
H-Index
1
About
Nguyen Thi Phuong Ha is a leading researcher in robotics and intelligent control systems, with a particular focus on reinforcement learning and robust control for mobile robots. Her most cited work, "Robust reinforcement learning-based tracking control for wheeled mobile robot" (2010), introduces a novel adaptive critic controller that integrates policy iteration algorithms with neural networks to achieve robust trajectory tracking under uncertainty. This foundational contribution has garnered 5 citations and demonstrates her ability to bridge theoretical control methods with practical robotic applications. Ha’s research addresses critical challenges in autonomous navigation, including stability and adaptability in dynamic environments. Her work is highly regarded for its innovative use of reinforcement learning to enhance the robustness of wheeled mobile robots, making her a key figure in the advancement of intelligent robotic systems. Through her research, she continues to inspire students and researchers interested in the intersection of machine learning and control theory.
Research Focus
Key Achievements
Top Papers
- 1