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From ants to robotic explorers: using biologically inspired robots to map the unknown

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dc.contributor.authorEmmons, Megan, author
dc.contributor.authorMaciejewski, Anthony A., author
dc.contributor.authorChong, Edwin K. P., author
dc.date.accessioned2017-11-10T18:11:28Z
dc.date.available2017-11-10T18:11:28Z
dc.date.issued2017
dc.description.abstractRobotic swarms are comprised of simple, individual robots but can collectively accomplish complex tasks through frequent interactions with other robots and the environment. One pertinent objective for swarms is mapping unknown, potentially hazardous environments. We show that the collective or emergent behavior of a swarm observed at one area can be used to infer the presence of obstacles in an unknown environment even when the robots are unable to communicate and have limited sensing capabilities. In the process, we present a general methodology for mapping the discrete, individual robot behaviors to a continuous time model of the emergent behavior.en_US
dc.format.mediumborn digital
dc.format.mediumStudent works
dc.format.mediumposters
dc.identifier.urihttps://hdl.handle.net/10217/184822
dc.languageChineseen_US
dc.language.isoengen_US
dc.publisherColorado State University. Librariesen_US
dc.relation.ispartof2017 Projects
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectrobotics
dc.subjectrobotic swarms
dc.subjectmapping
dc.titleFrom ants to robotic explorers: using biologically inspired robots to map the unknownen_US
dc.title.alternative095 - Megan R Emmonsen_US
dc.title.alternativeModelling emergent swarm behavior in robots for mapping unknown environmentsen_US
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