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Chapitre D'ouvrage Année : 2022

Modeling and Simulation of A Swarm Robot Application Using MBSE Method and Multi-Agent Technology: Monitoring Oil Spills

Résumé

Swarm Robotics is a new approach to the coordination of a large number of robots inspired by nature. This approach aims to design collective behaviors for a large number of robots. Unfortunately, several researchers have tried to develop structured design methods but these methods are still limited. Today, swarm robotics are used in many fields, they are used in agriculture, medicine, industrial, etc. One of the most important fields that require swarm robots is surveillance. In this paper, we present in the first section some methods of designing swarm robot systems by identifying swarm engineering based on a model (MBSE) and multi-agent simulation. Then, we study the energy problem of these robotic systems and the solution proposed by the researchers. In the second section, we present an application for detecting oil in the sea and cleaning it using swarm robots. We will model this application using the MBSE method with the SysML language. Finally, we will simulate the model on a multi-agent tool to identify the functional and structural architecture of the system.
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Dates et versions

hal-03183415 , version 1 (27-03-2021)

Identifiants

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Khalil Aloui, Moncef Hammadi, Amir Guizani, Thierry Soriano, Mohamed Haddar. Modeling and Simulation of A Swarm Robot Application Using MBSE Method and Multi-Agent Technology: Monitoring Oil Spills. Applied Condition Monitoring, 20, pp.96-105, 2022, ⟨10.1007/978-3-030-85584-0_10⟩. ⟨hal-03183415⟩
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