Doan Le Anh
Papers
1
Total Citations
8
H-Index
1
About
Doan Le Anh is a researcher specializing in robotics and intelligent control systems, with a particular focus on autonomous mobile robots and reinforcement learning-based control. His major contribution lies in the development of a Reinforcement Q-learning PID controller for restaurant mobile robots equipped with double line-sensors, a novel approach that enhances robot navigation and stability by autonomously tuning PID parameters through machine learning. This work, published in 2020, has garnered 8 citations, reflecting its relevance in the growing field of service robotics. By integrating reinforcement learning with classical control theory, Le Anh addresses the critical challenge of parameter dependency in PID controllers, improving robot performance in dynamic environments. His research bridges the gap between traditional control methods and modern AI techniques, offering practical solutions for cost-effective, robust mobile robot applications. Le Anh’s work is particularly notable for its potential impact on the hospitality and service industries, where reliable autonomous navigation is essential.
Research Focus
Key Achievements
Top Papers
- 1