文章基本信息

标题：A Model for Bio-Inspired Underwater Swarm Robotic Exploration
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作者：Joshua Cherian Varughese ; Ronald Thenius ; Paul Leitgeb 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：2
页码：385-390
DOI：10.1016/j.ifacol.2018.03.066
语种：English
出版社：Elsevier
摘要：AbstractSwarm intelligence has interested researchers in various areas of research for several decades because of its stability, resilience and simplicity. Several researchers have used swarm intelligence behaviours to design systems which can accomplish single tasks. In this paper, we will make a step forward by designing a swarm intelligent system that draws from two different natural swarms, bees and slime mould, to form an integrated underwater swarm robotic exploration system. An agent based simulation of such a system is presented in this paper along with some basic performance evaluation measures of the presented system. The main question the authors are attempting to answer through this model is how feasible the such an exploration system would be with regards to time, the number of robots allocated by the decentralized system for exploring interesting locations and the resilience of such a system to failures in robots. The first simulation results obtained from this model shows how decentralized control inspired by swarm intelligence can be used to design systems for real world applications.
关键词：Keywordsunderwater roboticsswarmsunderwater measurementsswarm intelligencebio-inspirationbeesslime mould