Towards a large-scale fused and labeled dataset of human pose while interacting with robots in shared urban areas

arXiv:2402.10077v1 Announce Type: cross
Abstract: Over the last decade, Autonomous Delivery Robots (ADRs) have transformed conventional delivery methods, responding to the growing e-commerce demand. However, the readiness of ADRs to navigate safely among pedestrians in shared urban areas remains an open question. We contend that there are crucial research gaps in understanding their interactions with pedestrians in such environments. Human Pose Estimation is a vital stepping stone for various downstream applications, including pose prediction and socially aware robot path-planning. Yet, …

abstract arxiv autonomous autonomous delivery commerce cs.lg cs.ro dataset delivery delivery robots demand e-commerce human pedestrians question robots scale type urban