By the same authors

SASSI: Safety Analysis using Simulation-based Situation Coverage for Cobot Systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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SASSI: Safety Analysis using Simulation-based Situation Coverage for Cobot Systems. / Lesage, Benjamin Michael Jean-Rene; Alexander, Rob.

Proceedings of SafeComp 2021. 2021.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Lesage, BMJ-R & Alexander, R 2021, SASSI: Safety Analysis using Simulation-based Situation Coverage for Cobot Systems. in Proceedings of SafeComp 2021.

APA

Lesage, B. M. J-R., & Alexander, R. (Accepted/In press). SASSI: Safety Analysis using Simulation-based Situation Coverage for Cobot Systems. In Proceedings of SafeComp 2021

Vancouver

Lesage BMJ-R, Alexander R. SASSI: Safety Analysis using Simulation-based Situation Coverage for Cobot Systems. In Proceedings of SafeComp 2021. 2021

Author

Lesage, Benjamin Michael Jean-Rene ; Alexander, Rob. / SASSI: Safety Analysis using Simulation-based Situation Coverage for Cobot Systems. Proceedings of SafeComp 2021. 2021.

Bibtex - Download

@inproceedings{310627aa9b1344fb8a9f6afe2cb3e618,
title = "SASSI: Safety Analysis using Simulation-based Situation Coverage for Cobot Systems",
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 realworlduse-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.",
author = "Lesage, {Benjamin Michael Jean-Rene} and Rob Alexander",
year = "2021",
month = jun,
day = "1",
language = "English",
booktitle = "Proceedings of SafeComp 2021",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - SASSI: Safety Analysis using Simulation-based Situation Coverage for Cobot Systems

AU - Lesage, Benjamin Michael Jean-Rene

AU - Alexander, Rob

PY - 2021/6/1

Y1 - 2021/6/1

N2 - 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 realworlduse-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.

AB - 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 realworlduse-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.

M3 - Conference contribution

BT - Proceedings of SafeComp 2021

ER -