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Representing knowledge in robotic systems with KnowLang

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dc.contributor.author Vassev, Emil
dc.contributor.author Hinchey, Mike
dc.date.accessioned 2012-02-27T10:33:49Z
dc.date.available 2012-02-27T10:33:49Z
dc.date.issued 2011
dc.identifier.uri http://hdl.handle.net/10344/2043
dc.description non-peer-reviewed en_US
dc.description.abstract Building intelligent robotic systems is both stirring and extremely challenging. Researchers have realized that robot intelligence can be achieved with a logical approach, but still AI struggles to connect that abstract logic with real-world meanings. This paper presents KnowLang, a new formal language for knowledge representation in a special class of intelligent robotic systems termed ASCENS. Autonomic Service-Component Ensembles (ASCENS) are multi-agent systems formed as mobile, intelligent and open-ended swarms of special autonomic service components capable of local and distributed reasoning. Such components encapsulate rules, constraints and mechanisms for self-adaptation and acquire and process knowledge about themselves, other service components and their environment. In this paper, a brief KnowLang case study of knowledge representation for a robotic system is presented. en_US
dc.language.iso eng en_US
dc.relation info:eu-repo/grantAgreement/EC/FP7/288750
dc.relation.ispartofseries Proceedings of the 1st International ISoLA Workshop on Software Aspects of Robotic Systems.;17-18 October, 2011
dc.subject knowledge representation en_US
dc.subject intelligent robotic systems en_US
dc.subject formal approach en_US
dc.subject robot ontology en_US
dc.subject ASCENS en_US
dc.title Representing knowledge in robotic systems with KnowLang en_US
dc.type info:eu-repo/semantics/conferenceObject en_US
dc.type.supercollection all_ul_research en_US
dc.type.restriction none en
dc.contributor.sponsor SFI
dc.contributor.sponsor ERC
dc.relation.projectid 03/CE2/I303_1
dc.relation.projectid ASCENS
dc.rights.accessrights info:eu-repo/semantics/openAccess


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