Department of Computer Science, Federal University of Ouro Preto, Ouro Preto 35400-000, Brazil.
Department of Computer Science, University of Brasília, Brasília 70910-900, Brazil.
Sensors (Basel). 2021 Mar 15;21(6):2062. doi: 10.3390/s21062062.
Known as an artificial intelligence subarea, Swarm Robotics is a developing study field investigating bio-inspired collaborative control approaches and integrates a huge collection of agents, reasonably plain robots, in a distributed and decentralized manner. It offers an inspiring essential platform for new researchers to be engaged and share new knowledge to examine their concepts in analytical and heuristic strategies. This paper introduces an overview of current activities in Swarm Robotics and examines the present literature in this area to establish to approach between a realistic swarm robotic system and real-world enforcements. First, we review several Swarm Intelligence concepts to define Swarm Robotics systems, reporting their essential qualities and features and contrast them to generic multi-robotic systems. Second, we report a review of the principal projects that allow realistic study of Swarm Robotics. We demonstrate knowledge regarding current hardware platforms and multi-robot simulators. Finally, the forthcoming promissory applications and the troubles to surpass with a view to achieving them have been described and analyzed.
作为人工智能的一个分支领域,群体机器人学是一个正在发展的研究领域,它研究受生物启发的协作控制方法,并以分布式和分散的方式集成了大量的智能体,即功能简单的机器人。它为新的研究人员提供了一个鼓舞人心的重要平台,让他们能够参与并分享新知识,以分析和启发式策略来检验他们的概念。本文介绍了群体机器人学的当前活动概述,并研究了该领域的现有文献,以在现实的群体机器人系统和实际应用之间建立一种方法。首先,我们回顾了几个群体智能概念,以定义群体机器人系统,报告它们的基本性质和特征,并将其与通用多机器人系统进行对比。其次,我们报告了对主要项目的回顾,这些项目允许对群体机器人学进行现实研究。我们展示了关于当前硬件平台和多机器人模拟器的知识。最后,描述和分析了即将到来的有前途的应用以及为实现这些应用需要克服的难题。