Risk space modelling for human-robot collaboration in a shared intralogistics scenario

Elena Stracca, Giorgio Grioli, Lucia Pallottino, and Paolo Salaris
Proceedings of the I-RIM Conference 2022

Abstract

This paper aims to define a multi-dimensional risk space for a robot moving in a shared environment with human operators. The dimensions of the risk space are defined as the risk factors which may lead to an undesired event. An analysis of the robot state variables on which each individual risk source may depend leads to the introduction of a fuzzy inference system to quantify the risk levels in the particular case study. The methodology presented in this paper outlines a general way to characterize risk for autonomous agents working in partially unknown environments, which generalizes to most human-robot collaboration scenarios. The proposed framework is also flexible to the introduction of new risk factors.

@inproceedings{stracca2022risk,
                title=Risk space modelling for human-robot collaboration in a shared intralogistics scenario,
                author=Elena Stracca, Giorgio Grioli, Lucia Pallottino and Paolo Salaris,
                booktitle=2022 I-RIM Conference,
                DOI=10.5281/zenodo.7531408,
                pages={253--255},
                year = 2022,
                organization=I-RIM
                }