Different geopolitical conflicts of recent years have led to mass migration of several civilian populations. These migrations take place in militarized zones, indicating real danger contexts for the populations. Indeed, civilians are increasingly targeted during military assaults. Defense and security needs have increased; therefore, there is a need to prioritize the protection of migrants. Very few or no arrangements are available to manage the scale of displacement and the protection of civilians during migration. In order to increase their security during mass migration in an inhospitable territory, this article proposes an assistive system using a team of mobile robots, labeled a rover swarm that is able to provide safety area around the migrants. We suggest a coordination algorithm including CNN and fuzzy logic that allows the swarm to synchronize their movements and provide better sensor coverage of the environment. Implementation is carried out using on a reduced scale rover to enable evaluation of the functionalities of the suggested software architecture and algorithms. Results bring new perspectives to helping and protecting migrants with a swarm that evolves in a complex and dynamic environment.

中文翻译：

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向一群机器人保护一群移民

近年来不同的地缘政治冲突导致若干平民大规模迁移。这些迁移发生在军事地区，这表明了人口的真实危险情况。确实，在军事袭击中平民越来越成为目标。国防和安全需求增加了；因此，有必要优先保护移民。很少或没有安排来管理流离失所的规模和移徙期间的平民保护。为了提高在不适宜居住的地区大规模迁移期间的安全性，本文提出了一种使用移动机器人团队的辅助系统，该机器人系统被标记为漫游车群，能够在移民周围提供安全区域。我们建议使用一种包括CNN和模糊逻辑的协调算法，该算法允许群体同步其运动并提供对环境的更好的传感器覆盖范围。使用缩小规模的流动站进行实施，以评估所建议软件体系结构和算法的功能。结果为在复杂而动态的环境中发展的群体提供了新的观点，以帮助和保护移民。