Don’t be Rude! Learning Group-aware Policies for Robot Navigation

This paper explores learning group-aware navigation policies based on dynamic group formation using deep reinforcement learning. Through simulation experiments, we show that group-aware policies achieve greater robot navigation performance (e.g., fewer collisions), minimize violation of social norms and discomfort, and reduce the robot’s movement impact on pedestrians when compared to the baseline.