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Saadia Dhouib

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3 papers

1 author row

IROS Conference 2018 Conference Paper

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

Nataliya Yakymets
M. Sango
Saadia Dhouib
R. Gelin

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.

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EUMAS Conference 2017 Conference Paper

A Model Driven Methodology for Developing Multi Agent Solutions for Energy Systems

Lamia Ben Romdhane
Hassan A. Sleiman
Saadia Dhouib
Chokri Mraidha

Abstract The complexity and intelligence of energy systems has increased in the recent years, whereas using Multi-agent Systems (MAS) has been recommended by IEEE for developing software solutions for modeling, controlling, and simulating their behaviors. Existing proposals on MAS solutions for energy systems proposed ad-hoc solutions for resolving specific problems, without considering interoperability and reusability. We propose a methodology, based on the Model-Driven Engineering (MDE) technique, for developing MAS solutions for energy systems. Our methodology uses the Common Information Model standard (CIM), recommended by IEEE, and the existing Platform Independent agent metamodel PIM4Agents. The proposed methodology allows modeling MAS solutions for power engineering applications, by means of a platform-independent model that abstracts developers from existing agent-oriented methodologies and platforms. Applying model transformations, the generated models can be transformed and executed within several agent platforms such as JACK and JADE. Our proposal has been validated by means of a well-known test case from the literature.

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IROS Conference 2013 Conference Paper

Model-driven safety assessment of robotic systems

Nataliya Yakymets
Saadia Dhouib
Hadi Jaber
Agnes Lanusse

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 using fault tree (FT) analysis (FTA). The framework supports a domain specific language for RSs called RobotML and includes facilities (i) to automatically generate or manually construct FTs and perform both qualitative and quantitative FTA, (ii) to make semantic connections with formal verification and FTA tools, (iii) to represent FTA results in the RobotML modeling environment. In the case study, we illustrate the proposed methodology and framework by considering a mobile robot developed in the scope of the Proteus project.

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