Mobile Robot Behavior Generation considering the Person’s Awareness of the robot

Abstract

In this research, we focus on estimating the awareness which a person have of surrounding other people and objects. We deal with the robot behavior generation considering the awareness by deep reinforcement learning to investigate the effectiveness of estimating the awareness. We compare generated behaviors with and without awareness information and find that the use of human’s awareness information reduces the number of collisions and the time to reach the goal.