群机器人
群体行为
机器人学
人工智能
计算机科学
蚂蚁机器人学
可扩展性
分类学(生物学)
机器人
透视图(图形)
人机交互
移动机器人
机器人控制
植物
数据库
生物
作者
Manuele Brambilla,Eliseo Ferrante,Mauro Birattari,Marco Dorigo
出处
期刊:Swarm Intelligence
[Springer Science+Business Media]
日期:2013-01-16
卷期号:7 (1): 1-41
被引量:1455
标识
DOI:10.1007/s11721-012-0075-2
摘要
Swarm robotics is an approach to collective robotics that takes inspiration from the self-organized behaviors of social animals. Through simple rules and local interactions, swarm robotics aims at designing robust, scalable, and flexible collective behaviors for the coordination of large numbers of robots. In this paper, we analyze the literature from the point of view of swarm engineering: we focus mainly on ideas and concepts that contribute to the advancement of swarm robotics as an engineering field and that could be relevant to tackle real-world applications. Swarm engineering is an emerging discipline that aims at defining systematic and well founded procedures for modeling, designing, realizing, verifying, validating, operating, and maintaining a swarm robotics system. We propose two taxonomies: in the first taxonomy, we classify works that deal with design and analysis methods; in the second taxonomy, we classify works according to the collective behavior studied. We conclude with a discussion of the current limits of swarm robotics as an engineering discipline and with suggestions for future research directions.
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