Le Thi Hoan
Papers
2
Total Citations
6
H-Index
2
About
Le Thi Hoan is a robotics researcher whose work focuses on the control and autonomous navigation of mobile robots, particularly in challenging, unknown environments. Her most influential contributions center on two critical challenges: enabling robots to navigate without prior maps and ensuring robust motion control. In her 2020 paper, "Mobile Robot Navigation Using Deep Reinforcement Learning in Unknown Environments," she pioneered the use of deep reinforcement learning to allow robots to learn adaptive navigation policies on the fly, a key step toward truly autonomous systems. Her 2023 work, "Adaptive Sliding Mode Control for Three-Wheel Omnidirectional Mobile Robot," addresses the practical need for precise, disturbance-resistant control in omnidirectional platforms—robots increasingly used in logistics, service, and hazardous fields like mine detection and chemical production. Though her citation counts are currently modest (3 each), her research tackles fundamental, high-impact problems in robotics. By bridging learning-based navigation with robust control theory, Hoan is contributing to the next generation of mobile robots that can safely replace humans in dangerous industrial and military applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2