Published October 13, 2022
| Version v1
Conference paper
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Risk space modelling for human-robot collaboration in a shared intralogistics scenario
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Description
This paper aims to define a multi-dimensional risk space for a robot moving in a shared environment with human operators. 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. The methodology presented in this paper outlines a general way to characterize risk for autonomous agents working in partially unknown environments.