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dc.contributor.authorOyekan, John O.en_GB
dc.contributor.authorHu, Huoshengen_GB
dc.contributor.authorGu, Dongbingen_GB
dc.date.accessioned2013-03-26T13:59:25Z
dc.date.available2013-03-26T13:59:25Z
dc.date.issued2010
dc.identifier.citationOyekan, J., Hu, H. and Gu, D. (2010) 'Bio-Inspired Coverage of Invisible Hazardous Substances in the Environment', International Journal of Information Acquisition 07 (03): 193-204en_GB
dc.identifier.issn0219-8789
dc.identifier.issn1793-6985
dc.identifier.doi10.1142/S0219878910002154
dc.identifier.urihttp://hdl.handle.net/10547/276018
dc.description.abstractInspired by the simplicity of how nature solves its problems, a controller based upon the bacteria chemotaxis behavior and flocking of starlings in nature is developed and presented. It would enable the localization and subsequent mapping of pollutants in the environment. The pollutants could range from chemical leaks to invisible air borne hazardous materials. Simulation is used to explore the feasibility of the proposed controller and then a brief discussion on how to implement it onto a real robotic platform is presented. By using the advantages offered by swarm robotics, it is possible to achieve a collective mapping of an invisible pollutant spread over a large area. The approach presented is very simple, computational efficient, easily tuned and yet highly effective (desirable characteristics of biological systems) in generating a representation of an invisible pollutant.
dc.language.isoenen
dc.publisherWorld Scientific Publishing Companyen_GB
dc.relation.urlhttp://www.worldscientific.com/doi/abs/10.1142/S0219878910002154en_GB
dc.subjectbacterium inspired algorithmen_GB
dc.subjectenvironmental monitoringen_GB
dc.subjectinvisible hazardous substancesen_GB
dc.titleBio-inspired coverage of invisible hazardous substances in the environmenten
dc.typeArticleen
dc.contributor.departmentUniversity of Essexen_GB
dc.identifier.journalInternational Journal of Information Acquisitionen_GB
html.description.abstractInspired by the simplicity of how nature solves its problems, a controller based upon the bacteria chemotaxis behavior and flocking of starlings in nature is developed and presented. It would enable the localization and subsequent mapping of pollutants in the environment. The pollutants could range from chemical leaks to invisible air borne hazardous materials. Simulation is used to explore the feasibility of the proposed controller and then a brief discussion on how to implement it onto a real robotic platform is presented. By using the advantages offered by swarm robotics, it is possible to achieve a collective mapping of an invisible pollutant spread over a large area. The approach presented is very simple, computational efficient, easily tuned and yet highly effective (desirable characteristics of biological systems) in generating a representation of an invisible pollutant.


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