Cong-Thanh Vu

Autonomous Adjustment of Tracking Position in Dynamic Environments for Human-Following Robots Using Deep Reinforcement Learning

Achieving flexible human-following in real-world environments remains a critical yet challenging problem in Human-Robot Interaction (HRI). Traditional approaches typically constrain robots to fixed tracking positions—such as following from behind, ahead, or alongside—thereby limiting their adaptabil