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dc.contributor.authorGeuther, Brian Q.en_US
dc.date.accessioned2013-09-05T08:00:25Z
dc.date.available2013-09-05T08:00:25Z
dc.date.issued2013-09-04en_US
dc.identifier.othervt_gsexam:1581en_US
dc.identifier.urihttp://hdl.handle.net/10919/23751
dc.description.abstractCollective robotic behavior poses significant advantages over classical control methods such as system response and robustness. Biological cooperative communities have provided great insights for development of many control algorithms. Localized chemical signaling within bacterial communities is used for directed movement and dynamic density measurements. Both individual and population scale models have been created to adequately model community dynamics. These dynamics, including directed motion due to chemotaxis and density controlled functionality from quorum sensing, are modeled through an individual scale in a community scale environment. This modeling provides both a platform for analyzing the BacteriaBot engineered system as well as inspires decentralized stochastic control techniques for solving bacteria-like collaborative control problems.en_US
dc.format.mediumETDen_US
dc.publisherVirginia Techen_US
dc.rightsThis Item is protected by copyright and/or related rights. Some uses of this Item may be deemed fair and permitted by law even without permission from the rights holder(s), or the rights holder(s) may have licensed the work for use under certain conditions. For other uses you need to obtain permission from the rights holder(s).en_US
dc.subjectBacteriaen_US
dc.subjectComputational Modelingen_US
dc.subjectPopulation Scale Modelingen_US
dc.subjectChemotaxisen_US
dc.subjectQuorum Sensingen_US
dc.subjectDecentralized Controlen_US
dc.titleTowards Bacteria Inspired Stochastic Control Strategies for Microrobotic Swarm Intelligenceen_US
dc.typeThesisen_US
dc.contributor.departmentMechanical Engineeringen_US
dc.description.degreeMaster of Scienceen_US
thesis.degree.nameMaster of Scienceen_US
thesis.degree.levelmastersen_US
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen_US
thesis.degree.disciplineMechanical Engineeringen_US
dc.contributor.committeechairBehkam, Baharehen_US
dc.contributor.committeememberAbaid, Nicoleen_US
dc.contributor.committeememberLeonessa, Alexanderen_US


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