Vu Thi To Linh
Papers
1
Total Citations
12
H-Index
1
About
Dr. Vu Thi To Linh is a pioneering researcher in autonomous robotics and reinforcement learning, with a focus on enabling mobile robots to navigate unknown environments without prior maps. Her most-cited work, "Reinforcement Learning based Method for Autonomous Navigation of Mobile Robots in Unknown Environments" (2020, 12 citations), addresses a critical challenge in robotics: adapting classic RL algorithms—typically limited to small state-action spaces—to complex, real-world scenarios. By developing novel RL frameworks that handle large, continuous state spaces, Dr. Linh has advanced the practical deployment of intelligent navigation systems. Her contributions bridge the gap between theoretical reinforcement learning and applied robotics, offering scalable solutions for exploration and obstacle avoidance. This work has been cited by researchers in autonomous systems, machine learning, and control engineering, underscoring its interdisciplinary impact. Dr. Linh's research not only pushes the boundaries of adaptive decision-making but also lays the groundwork for safer, more efficient autonomous vehicles and service robots. Her achievements highlight her as a rising voice in the integration of AI with physical systems, inspiring future work in lifelong learning and real-time adaptation for robotics.
Research Focus
Key Achievements
Top Papers
- 1