Action understanding and imitation learning in a robot-human task

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dc.contributor.authorErlhagen, Wolfram
dc.contributor.authorMukovskiy, Albert
dc.contributor.authorBicho, E.
dc.contributor.authorPanin, Giorgio
dc.contributor.authorKiss, Casba
dc.contributor.authorKnoll, Alois
dc.contributor.authorVan Schie, Hein
dc.contributor.authorBekkering, Harold
dc.date.accessioned2006-02-17T17:07:05Z
dc.date.available2006-02-17T17:07:05Z
dc.date.issued2005
dc.description.abstractWe report results of an interdisciplinary project which aims at endowing a real robot system with the capacity for learning by goaldirected imitation. The control architecture is biologically inspired as it reflects recent experimental findings in action observation/execution studies. We test its functionality in variations of an imitation paradigm in which the artefact has to reproduce the observed or inferred end state of a grasping-placing sequence displayed by a human model.eng
dc.description.sponsorshipEuropean Commission (EC) - IST-2000-29686.por
dc.distributioninternationaleng
dc.identifier.citationDUCH, W. [et al.], ed. – “Artificial neural networks : formal models and their applications - ICANN 2005 : 15th International Conference, Warsaw, Poland, September 11-15, 2005 : proceedings”. Berlin [etc.] : Springer, cop. 2005. ISBN 3-540-28755-8. p. 261-268.eng
dc.identifier.doi10.1007/11550822_42por
dc.identifier.isbn3-540-28755-8
dc.identifier.issn0302-9743por
dc.identifier.urihttps://hdl.handle.net/1822/4458
dc.language.isoengeng
dc.peerreviewedyeseng
dc.publisherSpringereng
dc.rightsopenAccesseng
dc.subjectImitation learningeng
dc.subjectRoboticseng
dc.subjectDynamic field modeleng
dc.subjectAction understandingeng
dc.subject.wosScience & Technologypor
dc.titleAction understanding and imitation learning in a robot-human taskeng
dc.typeconferencePapereng
dspace.entity.typePublicationen
oaire.citationEndPage268por
oaire.citationStartPage261por
oaire.citationVolume3696por
sdum.conferencePublicationARTIFICIAL NEURAL NETWORKS: BIOLOGICAL INSPIRATIONS - ICANN 2005, PT 1, PROCEEDINGSpor
sdum.journalLecture Notes in Computer Sciencepor

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