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dc.contributor.advisorΜιχαήλ, Λοΐζος
dc.contributor.authorGuillaume, Voirin
dc.contributor.otherGuillaume, Voirin
dc.coverage.spatialΚύπροςel_GR
dc.date.accessioned2020-10-13T08:42:49Z
dc.date.available2020-10-13T08:42:49Z
dc.date.copyright2020-10-13
dc.date.issued2020-06
dc.identifier.otherCOS/2020/00001el_GR
dc.identifier.urihttp://hdl.handle.net/11128/4725
dc.descriptionIncludes bibliographical references.el_GR
dc.description.abstractIn an attempt to solve search-and-rescue problematics such as rescue time and difficulty in accessing certain search areas, a cognitive swarm of drones system is proposed, using artificial intelligence techniques interacting with cognitive components. The system’s various elements (drones’ cognition, pathfinding, policies, but also humans-swarm interactions) are elaborated, implemented and evaluated using a simulator custom-built for this dissertation. Evaluation outcomes show that cognitive functions can be beneficial to noncognitive drone components, and vice versa. Possible improvements are discussed.el_GR
dc.format.extentvii, 79 p. ; 30 cm.el_GR
dc.languageenel_GR
dc.language.isoenel_GR
dc.publisherΑνοικτό Πανεπιστήμιο Κύπρουel_GR
dc.rightsinfo:eu-repo/semantics/closedAccessel_GR
dc.subjectCognitive swarm -- Search-and-Rescue problematicsel_GR
dc.titleCognitive swarm of drones search and rescue system.el_GR
dc.typeΜεταπτυχιακή Διατριβήel_GR
dc.description.translatedabstractnoneel_GR
dc.format.typepdfel_GR


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