Human mobile robot interaction in the retail environment.

ABSTRACT: As technology advances, Human-Robot Interaction (HRI) is boosting overall system efficiency and productivity. However, allowing robots to be present closely with humans will inevitably put higher demands on precise human motion tracking and prediction. Datasets that contain both humans and robots operating in the shared space are receiving growing attention as they may facilitate a variety of robotics and human-systems research. Datasets that track HRI with rich information other than video images during daily activities are rarely seen. In this paper, we introduce a novel dataset that focuses on social navigation between humans and robots in a future-oriented Wholesale and Retail Trade (WRT) environment ( https://uf-retail-cobot-dataset.github.io/ ). Eight participants performed the tasks

SUBMITTER: Chen Y 

PROVIDER: S-EPMC9636163 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature