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dc.contributor.authorDragone, Mauro
dc.contributor.authorAmato, Giuseppe
dc.contributor.authorBacciu, Davide
dc.contributor.authorChessa, Stefano
dc.contributor.authorColeman, Sonya
dc.contributor.authorDi Rocco, Maurizio
dc.contributor.authorGallicchio, Claudio
dc.contributor.authorGennaro, Claudio
dc.contributor.authorLozano, Hector
dc.contributor.authorMaguire, Liam
dc.contributor.authorMcGinnity, Martin
dc.contributor.authorMicheli, Alessio
dc.contributor.authorO׳Hare, Gregory M.P.
dc.contributor.authorRenteria, Arantxa
dc.contributor.authorSaffiotti, Alessandro
dc.contributor.authorVairo, Claudio
dc.contributor.authorVance, P.
dc.date.accessioned2016-04-27T10:42:23Z
dc.date.available2016-04-27T10:42:23Z
dc.date.issued2015-10
dc.identifier.citationENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. Volume: 45 (2015) Pages: 269-280en
dc.identifier.issn1873-6769en
dc.identifier.urihttp://hdl.handle.net/11556/224
dc.description.abstractRobotic ecologies are systems made out of several robotic devices, including mobile robots, wireless sensors and effectors embedded in everyday environments, where they cooperate to achieve complex tasks. This paper demonstrates how endowing robotic ecologies with information processing algorithms such as perception, learning, planning, and novelty detection can make these systems able to deliver modular, flexible, manageable and dependable Ambient Assisted Living (AAL) solutions. Specifically, we show how the integrated and self-organising cognitive solutions implemented within the EU project RUBICON (Robotic UBIquitous Cognitive Network) can reduce the need of costly pre-programming and maintenance of robotic ecologies. We illustrate how these solutions can be harnessed to (i) deliver a range of assistive services by coordinating the sensing & acting capabilities of heterogeneous devices, (ii) adapt and tune the overall behaviour of the ecology to the preferences and behaviour of its inhabitants, and also (iii) deal with novel events, due to the occurrence of new user's activities and changing user's habits.en
dc.description.sponsorshipEuropean Commission. EC | FP7 | SP1 | ICT . FP7-ICT-2009-6.en
dc.language.isoengen
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLANDen
dc.titleA cognitive robotic ecology approach to self-configuring and evolving AAL systemsen
dc.typearticleen
dc.identifier.doi10.1016/j.engappai.2015.07.004en
dc.isiYesen
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/269914/EU/Robotics UBIquitous COgnitive Network/RUBICONen
dc.rights.accessRightsembargoedAccessen
dc.subject.keywordsRobotic ecologyen
dc.subject.keywordsAmbient assisted livingen
dc.subject.keywordsCognitive roboticsen
dc.subject.keywordsMachine learningen
dc.subject.keywordsPlanningen


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