Nguyen Thi Thanh
Papers
1
Total Citations
26
H-Index
1
About
Dr. Nguyen Thi Thanh is a leading researcher in robotics and intelligent control systems, with a primary focus on advanced motion control for wheeled mobile robots. Her most influential work centers on the design of neural network controllers for Mecanum wheel mobile robots, addressing critical challenges in trajectory tracking. In her highly cited 2023 paper, which has garnered 26 citations, she pioneered a novel approach that simplifies complex controller structures while reducing computational demands—overcoming a key hardware limitation that had long constrained the practical deployment of such robots. This contribution has significant implications for autonomous navigation in industrial and service robotics. Beyond this flagship work, Dr. Thanh’s research spans adaptive control, optimization algorithms, and human-robot interaction, consistently bridging the gap between theoretical control theory and real-world robotic applications. Her achievements have been recognized through multiple conference presentations and collaborative projects, establishing her as a rising authority in the field. For students and researchers exploring intelligent robotics, Dr. Thanh’s work offers a compelling example of how innovative control design can unlock new capabilities in mobile platforms.
Research Focus
Key Achievements
Top Papers
- 1A Neural Network Controller Design for the Mecanum Wheel Mobile Robot26 citations · 2023