Robot Navigation in Constrained Pedestrian Environments using Reinforcement Learning
Claudia Pérez-D’Arpino Can Liu Patrick Goebel Roberto Martín-Martín Silvio Savarese Claudia Pérez-D’Arpino Can Liu Patrick Goebel Roberto Martín-Martín Silvio Savarese
Navigating fluently around pedestrians is a necessary capability for mobile robots deployed in human environments, such as buildings and homes. While research on social navigation has focused mainly on the scalability with the number of pedestrians in open spaces, typical indoor environments present the additional challenge of constrained spaces such as corridors and doorways that limit maneuverab...