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Knowledge representation for cognitive robotic systems

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dc.contributor.author Vassev, Emil
dc.contributor.author Hinchey, Mike
dc.date.accessioned 2012-07-19T10:37:37Z
dc.date.available 2012-07-19T10:37:37Z
dc.date.issued 2012
dc.identifier.uri http://hdl.handle.net/10344/2378
dc.description peer-reviewed en_US
dc.description.abstract Cognitive robotics are autonomous systems capable of artificial reasoning. Such systems can be achieved with a logical approach, but still AI struggles to connect the abstract logic with real-world meanings. Knowledge representation and reasoning help to resolve this problem and to establish the vital connection between knowledge, perception, and action of a robot. Cognitive robots must use their knowledge against the perception of their world and generate appropriate actions in that world in compliance with some goals and beliefs. This paper presents an approach to multi-tier knowledge representation for cognitive robots, where ontologies are integrated with rules and Bayesian networks. The approach allows for efficient and comprehensive knowledge structuring and awareness based on logical and statistical reasoning. en_US
dc.language.iso eng en_US
dc.publisher IEEE Computer Society en_US
dc.relation.ispartofseries Proceedings of the 15th IEEE International Symposium on Object/Component/Service-oriented Real-time Distributed Computing Workshops (ISCORCW 2012);
dc.relation.uri http://dx.doi.org/10.1109/ISORCW.2012.36
dc.rights © 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. en_US
dc.subject knowledge representation en_US
dc.subject reasoning en_US
dc.subject robotics en_US
dc.title Knowledge representation for cognitive robotic systems en_US
dc.type Conference item en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.contributor.sponsor ERC en_US
dc.contributor.sponsor SFI en_US
dc.relation.projectid 03/CE2/I303_1 en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US
dc.internal.rssid 1405293
dc.internal.authorcontactother emil.vassev@lero.ie
dc.internal.authorcontactother mike.hinchey@lero.ie


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