文章基本信息

标题：BEECLUST used for exploration tasks in Autonomous Underwater Vehicles ★
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作者：Michael Bodi ; Christoph Möslinger ; Ronald Thenius 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2015
卷号：48
期号：1
页码：819-824
DOI：10.1016/j.ifacol.2015.05.133
语种：English
出版社：Elsevier
摘要：AbstractUnderwater exploration is still a difficult task these days. In this paper we suggest a swarm of Autonomous Underwater Vehicles (AUVs) for such tasks. These AUVs are controlled by BEECLUST which is a swarm control algorithm inspired by honeybee behaviour. A swarm controlled by BEECLUST shows very reliable aggregation behaviour in a global optimum. In a simulation experiment we show that BEECLUST is very well adaptable for AUV swarms. Furthermore we show that BEECLUST is not only capable of showing aggregation behaviour but also is a valid tool for underwater exploration tasks.
关键词：KeywordsSwarm IntelligenceArtificial LifeEmergent BehaviourUnderwater Robotics