Abstract
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 many robots. Several researchers have tried to develop structured design methods, but unfortunately, these methods are still limited. Today, swarm robotics are used in many fields that include agriculture, medicine, industrial, etc. One of the most important fields that require swarm robots is surveillance. In this chapter, 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. We will use the different diagrams of SysML to specify the system requirements and model the functions offered by the system. Finally, we will simulate the models on a multi-agent tool to identify the functional and structural architecture of the system. Throughout this approach, we check the transition from one step to another to ensure the consistency and continuity of the method.
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Aloui, K., Hammadi, M., Guizani, A., Soriano, T., Haddar, M. (2022). Modeling and Simulation of a Swarm Robot Application Using MBSE Method and Multi-agent Technology: Monitoring Oil Spills. In: Hammami, A., Heyns, P.S., Schmidt, S., Chaari, F., Abbes, M.S., Haddar, M. (eds) Modelling and Simulation of Complex Systems for Sustainable Energy Efficiency. MOSCOSSEE 2021. Applied Condition Monitoring, vol 20. Springer, Cham. https://doi.org/10.1007/978-3-030-85584-0_10
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