Anh Thu Nguyen
Papers
1
Total Citations
1
H-Index
1
About
Anh Thu Nguyen is a robotics researcher focused on the intersection of deep reinforcement learning (DRL) and safe autonomous navigation. Her work critically examines the real-world deployment of DRL-based planners, particularly addressing how sensor imperfections—such as noise and latency—affect navigational safety. Her most cited paper, "Influence of Sensor Noise and Latency on Navigational Safety of Deep-Reinforcement-Learning-based Planners" (2022), provides a systematic analysis of these vulnerabilities, bridging the gap between simulation-based DRL training and practical robotic applications. This contribution is vital for the growing fields of logistics, healthcare, and delivery robotics, where reliable collision avoidance is paramount. While her citation count is still emerging, Nguyen’s research lays essential groundwork for robust, safety-critical mobile robot systems. Her work is notable for its focus on failure modes often overlooked in DRL literature, making her a key voice in developing more resilient autonomous navigation technologies.
Research Focus
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Top Papers
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