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Model-Based Engineering, Safety Analysis and Risk Assessment for Personal Care Robots

N. Yakymets, Marc Sango, Saadia Dhouib, Rodolphe Gélin

Year
2018
Citations
11

Abstract

In this paper, we propose a method and associate platform to couple model-based system engineering and safety analysis at the early phases of robotic system (RS) life-cycle. The method is compatible with IEC12100 and ISO13482. The platform is based on Papyrus UML modeler and supports RobotML, a domain specific language for RSs, as well as tools for safety analysis and risk assessment, Sophia and Safety Architect. It includes an ability (a) to model architecture of RSs; (b) to automatically run safety analysis (e.g. failure mode and effects analysis, fault tree analysis, etc.); (c) to save and reuse safety artefacts; (d) to represent safety analysis results in the modeling environment. We illustrate the proposed method by considering a humanoid personal care robot from SoftBank Robotics developed in the scope of the ROMEO2 project.

Keywords

Fault tree analysisUnified Modeling LanguageComputer scienceReuseSoftware engineeringDomain (mathematical analysis)RSSFailure mode and effects analysisScope (computer science)Robot

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