Cong-Thanh Vu

Toward Adaptive Interaction Strategies for Human Companion Robot via Deep Reinforcement Learning

This study introduces a novel human-companioning strategy that uses Reinforcement Learning (DRL) to enable mobile robots to dynamically adjust their tracking positions according to varying conditions and improves the success rate and tracking accuracy by at least 24% and 47%, respectively, while enhancing human comfort...