2013 IEEE/RSJ International Conference on Intelligent Robots and Systems 2013
DOI: 10.1109/iros.2013.6696493
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Model-driven safety assessment of robotic systems

Abstract: Robotic systems (RSs) are often used for performing critical tasks with little or no human intervention. Such RSs must satisfy certain dependability requirements including reliability, availability, security and safety. In this paper, we focus on the safety aspect and propose a methodology and associated framework for safety assessment of RSs in the early phases of development. The methodology relies upon model-driven engineering approach and describes a preliminary safety assessment of safety-critical RSs usi… Show more

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Cited by 32 publications
(19 citation statements)
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References 13 publications
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“…Yakymets et al also propose a MBSE-MBSA framework with SysML models converted to the AltaRica language for the automatic generation of FTA and the computation of model checking simulations. The main advantage of their approach is to loop on the SysML models by propagating the FTA results (Yakymets et al, 2013).…”
Section: Safety Analysis Of Cyber-physical Systemsmentioning
confidence: 99%
“…Yakymets et al also propose a MBSE-MBSA framework with SysML models converted to the AltaRica language for the automatic generation of FTA and the computation of model checking simulations. The main advantage of their approach is to loop on the SysML models by propagating the FTA results (Yakymets et al, 2013).…”
Section: Safety Analysis Of Cyber-physical Systemsmentioning
confidence: 99%
“…It supports MSA methodology and provides various MBSA services including FTA [17], FMEA [18], hazard analysis [7], requirement engineering, etc. In order to illustrate MSA methodology, hereafter we focus on the FTA method since it is often performed on large systems and enables global top-down SA.…”
Section: Sophia Frameworkmentioning
confidence: 99%
“…Several challenges and opportunities remain. Architecture frameworks offer many potential applications for safety [31,32] and formal verification techniques [30,35]. The challenges of safety and formal verification with <Q, R,T> remain to be solved.…”
Section: System Architecture Design Automation and Optimizationmentioning
confidence: 99%