Socially Integrated Navigation: A Social Acting Robot with Deep Reinforcement Learning

arXiv:2403.09793v1 Announce Type: cross
Abstract: Mobile robots are being used on a large scale in various crowded situations and become part of our society. The socially acceptable navigation behavior of a mobile robot with individual human consideration is an essential requirement for scalable applications and human acceptance. Deep Reinforcement Learning (DRL) approaches are recently used to learn a robot's navigation policy and to model the complex interactions between robots and humans. We propose to divide existing DRL-based navigation approaches based …

abstract acting applications arxiv become behavior cs.ai cs.lg cs.ro cs.sy eess.sy human mobile navigation part reinforcement reinforcement learning robot robots scalable scale social society type