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dc.contributor.authorOyekan, John O.en_GB
dc.contributor.authorHu, Huoshengen_GB
dc.date.accessioned2013-08-12T08:17:17Z
dc.date.available2013-08-12T08:17:17Z
dc.date.issued2013
dc.identifier.citationOyekan, J. & HU, H. (2013) 'Ant Robotic Swarm for Visualizing Invisible Hazardous Substances', Robotics, 2(1), pp.1-18en_GB
dc.identifier.issn2218-6581
dc.identifier.doi10.3390/robotics2010001
dc.identifier.urihttp://hdl.handle.net/10547/297902
dc.description.abstractInspired by the simplicity of how nature solves its problems, this paper presents a novel approach that would enable a swarm of ant robotic agents (robots with limited sensing, communication, computational and memory resources) form a visual representation of distributed hazardous substances within an environment dominated by diffusion processes using a decentralized approach. Such a visual representation could be very useful in enabling a quicker evacuation of a city’s population affected by such hazardous substances. This is especially true if the ratio of emergency workers to the population number is very small.
dc.language.isoenen
dc.relation.urlhttp://www.mdpi.com/2218-6581/2/1/1/en_GB
dc.rightsArchived with thanks to Roboticsen_GB
dc.subjectbio-inspirationen_GB
dc.subjectant agentsen_GB
dc.subjectoptimal coverageen_GB
dc.subjectpollution monitoringen_GB
dc.subjectbacterial foragingen_GB
dc.titleAnt robotic swarm for visualizing invisible hazardous substancesen
dc.typeArticleen
dc.identifier.journalRoboticsen_GB
html.description.abstractInspired by the simplicity of how nature solves its problems, this paper presents a novel approach that would enable a swarm of ant robotic agents (robots with limited sensing, communication, computational and memory resources) form a visual representation of distributed hazardous substances within an environment dominated by diffusion processes using a decentralized approach. Such a visual representation could be very useful in enabling a quicker evacuation of a city’s population affected by such hazardous substances. This is especially true if the ratio of emergency workers to the population number is very small.


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