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

Benjamin Michael Jean-Rene Lesage; Rob Alexander

doi:10.1007/978-3-030-83903-1_13

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

Benjamin Michael Jean-Rene Lesage, Rob Alexander

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	Proceedings of SafeComp 2021
Pages	195-209
ISBN (Electronic)	978-3-030-83903-1
DOIs	https://doi.org/10.1007/978-3-030-83903-1_13
Publication status	Published - 7 Sept 2021

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	12852

Access to Document

10.1007/978-3-030-83903-1_13

Simulation_based_situation_coverage_for_Cobot-rev3Accepted author manuscript, 783 KB

Cite this

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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.",

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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.

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