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dc.contributor.advisorBlankenship, Gilmeren_US
dc.contributor.authorBeisel, Brian W.en_US
dc.date.accessioned2014-10-16T05:34:13Z
dc.date.available2014-10-16T05:34:13Z
dc.date.issued2014en_US
dc.identifierhttps://doi.org/10.13016/M2VW24
dc.identifier.urihttp://hdl.handle.net/1903/15882
dc.description.abstractProblem solving based on sensor created area maps is a challenging problem that can benefit from a multi-robot approach. Cooperative problems are most eloquently designed through distributed services and systems. This thesis designs and implements a full distributed maze solving solution using simulated robotic sensor platforms. A distributed spatial communication system was developed and tested as a contributing element of the maze solving solution. Autonomous algorithms for communication, cooperation, and navigation were constructed and tested through simulation in maze solving tests. Working with an assumed map creating technology in tandem with the aforementioned developed technologies resulted in an effective complete solution. Although a great deal of future work is recommended to address imperfect mapping complications, it was found through simulation and mathematical analysis that multiple cooperative robotic platforms can result in significant performance improvements.en_US
dc.language.isoenen_US
dc.titleDistributed Maze Solving By Cooperative Robotic Platformsen_US
dc.typeThesisen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.contributor.departmentElectrical Engineeringen_US
dc.subject.pqcontrolledElectrical engineeringen_US
dc.subject.pquncontrolledCooperativeen_US
dc.subject.pquncontrolledDistributeden_US
dc.subject.pquncontrolledMazeen_US
dc.subject.pquncontrolledRoboticsen_US
dc.subject.pquncontrolledSolvingen_US


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