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dc.contributor.advisorArmando Solar-Lezama.en_US
dc.contributor.authorLynch, Alexander J.,M. Eng.Massachusetts Institute of Technology.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2020-09-15T21:59:29Z
dc.date.available2020-09-15T21:59:29Z
dc.date.copyright2020en_US
dc.date.issued2020en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/127471
dc.descriptionThesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, May, 2020en_US
dc.descriptionCataloged from the official PDF of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 73-74).en_US
dc.description.abstractIn recent years there has been a dramatic increase in the use of personal drones in the general public, and with this increase in use has come an increase in research regarding the capabilities of these drones, particularly in the context of groups or "swarms" of drones attempting to collectively accomplish tasks. While exciting, this field requires either drones be operated and tested in the real world or through a simulation, and while the real world testing is often difficult to execute well, the alternative has been for each research group to develop their own simulation. This thesis proposes (1) a new framework meant to enable researchers to easily perform experiments in the context of drone swarms and (2) a novel problem that serves as an example of the type of problem the framework can assist in solving.en_US
dc.description.statementofresponsibilityby Alexander J. Lynch.en_US
dc.format.extent74 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleSwarmSim : a framework for execution and visualization of drone swarm simulationsen_US
dc.title.alternativeSwarm Sim : a framework for execution and visualization of drone swarm simulationsen_US
dc.title.alternativeFramework for execution and visualization of drone swarm simulationsen_US
dc.typeThesisen_US
dc.description.degreeM. Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.identifier.oclc1192975056en_US
dc.description.collectionM.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Scienceen_US
dspace.imported2020-09-15T21:59:27Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentEECSen_US


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