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dc.contributor.authorMuhammad, Abubakr
dc.contributor.authorEgerstedt, Magnus B.
dc.date.accessioned2011-04-13T18:51:54Z
dc.date.available2011-04-13T18:51:54Z
dc.date.issued2003-12
dc.identifier.citationA. Muhammad and M. Egerstedt. Topology and Complexity of Formations. Workshop on the Mathematics and Algorithms of Social Insects, Atlanta, GA, Dec. 2003.en_US
dc.identifier.urihttp://hdl.handle.net/1853/38506
dc.descriptionPresented at the Workshop on the Mathematics and Algorithms of Social Insects, Atlanta, GA, Dec. 2003.en_US
dc.description.abstractBiological multi-agent systems such as animal herds, insect colonies and fish schools provide a lot of insight into the study and design of artificial multi-agent systems such as teams of autonomous mobile robots. Similarly, a lot can be learned about biological systems by borrowing design and analysis tools from multi-agent robotics. In this paper some recent work in the area of multi-agent robotics by the authors has been summarized, which addresses some basic issues in the modelling of formations with limited sensory and communication capabilities. The basic idea is to model spatial relationships between agents as connectivity graphs. An information theoretic complexity measure of multi-agent formations is suggested, which is based on the complexity of connectivity graphs. The complexity measure helps find graphs and formations of the highest and the lowest complexities.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectCooperative controlen_US
dc.subjectMulti-agent robotic systemsen_US
dc.titleTopology and Complexity of Formationsen_US
dc.typeProceedingsen_US
dc.contributor.corporatenameGeorgia Institute of Technology. School of Electrical and Computer Engineering
dc.contributor.corporatenameGeorgia Institute of Technology. Center for Robotics and Intelligent Machines


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