Lesage, Benjamin Michael Jean-Rene and Alexander, Rob orcid.org/0000-0003-3818-0310 (2021) SASSI: Safety Analysis using Simulation-based Situation Coverage for Cobot Systems. In: Proceedings of SafeComp 2021. Lecture Notes in Computer Science . , pp. 195-209.
Abstract
Assessing the safety of collaborative robot (cobot) systems is a difficult task due to the myriad of possible interactions between robots and operators, and the potential for injury to the operators. Using a situation coverage approach we can dene the individual components of such interactions, and thereby describe the problem space and the coverage achieved when testing it. In this paper, we propose a situation coverage approach for testing the safety of a cobot system. Our approach suggests using a combination of safety analysis techniques and simulation-based testing to dene situations of interest and explore hazardous situations while only endangering virtual operators. We challenge our assumptions by applying our method to an example based on a realworld use-case. The proposed metrics, if they provide no advantage to guided test generation techniques over random ones, helped us trim the generated conguration landscape to identify safety gaps.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 15 Jun 2021 12:40 |
Last Modified: | 11 Feb 2025 00:06 |
Published Version: | https://doi.org/10.1007/978-3-030-83903-1_13 |
Status: | Published |
Series Name: | Lecture Notes in Computer Science |
Identification Number: | 10.1007/978-3-030-83903-1_13 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:175209 |
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