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DC poleHodnotaJazyk
dc.contributor.authorLakshantha, Eranda
dc.contributor.authorEgerton, Simon
dc.contributor.editorSkala, Václav
dc.date.accessioned2017-10-10T06:24:26Z
dc.date.available2017-10-10T06:24:26Z
dc.date.issued2014
dc.identifier.citationWSCG 2014: communication papers proceedings: 21st International Conference in Central Europeon Computer Graphics, Visualization and Computer Visionin co-operation with EUROGRAPHICS Association, p. 31-38.en
dc.identifier.isbn978-80-86943-71-8
dc.identifier.uriwscg.zcu.cz/WSCG2014/!!_2014-WSCG-Communication.pdf
dc.identifier.urihttp://hdl.handle.net/11025/26375
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesWSCG 2014: communication papers proceedingsen
dc.rights@ Václav Skala - UNION Agencycs
dc.subjectrozšířená realitacs
dc.subjectinterakce člověka s robotycs
dc.subjectvidění založené na navigacics
dc.subjectrobotikacs
dc.titleIs augmented reality the future middleware for improving human robot interactions: a case studyen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedWith robots appearing frequently within our society, the cases will be higher where people with little or no practical experience in robotics would have to supervise robots. Future interfaces should make Human Robot Interactions (HRI) intuitive for such less-experienced users. A key requirement to have an intuitive interface is to improve the level of HRI performance. In this study we try to improve the HRI performance by developing a system namely, SHRIMP (Spatial Human Robot Interaction Marker Platform) based on Augmented Reality (AR) technology. We present SHRIMP as a new type of middleware for HRI, that can mediate high-level user intentions with robot- related action tasks. SHRIMP enables users to embed user intentions in the form of AR diagrams inside the robot’s environment (as seen by the robot’s camera view). These AR diagrams translate into action tasks for robots to follow in that environment. Furthermore, we report on the HRI performance induced by our SHRIMP framework when compared to an alternative more common robot control interface, a joystick controller.en
dc.subject.translatedaugmented realityen
dc.subject.translatedhuman robot interactionen
dc.subject.translatedvision based navigationen
dc.subject.translatedroboticsen
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:WSCG 2014: Communication Papers Proceedings

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