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dc.contributor.authorAlissandrakis, A.
dc.contributor.authorNehaniv, C.L.
dc.contributor.authorDautenhahn, K.
dc.date.accessioned2012-08-15T09:01:11Z
dc.date.available2012-08-15T09:01:11Z
dc.date.issued2003
dc.identifier.citationAlissandrakis , A , Nehaniv , C L & Dautenhahn , K 2003 , Synchrony and perception in robotic imitation across embodiments . in Procs of the 2003 IEEE Int Symposium on Computational Intelligence in Robotics and Automation . Institute of Electrical and Electronics Engineers (IEEE) , pp. 923-930 , IEEE Int Symp on Computational Intelligence in Robotics and Automation , Kobe , Japan , 16/07/03 .
dc.identifier.citationconference
dc.identifier.otherPURE: 977945
dc.identifier.otherPURE UUID: 132ab723-4d26-4c93-b3dd-06d0a0982496
dc.identifier.otherdspace: 2299/1630
dc.identifier.otherScopus: 84942592255
dc.identifier.urihttp://hdl.handle.net/2299/8830
dc.description.abstractSocial robotics opens up the possibility of individualized social intelligence in member robots of a community, and allows us to harness not only individual learning by the individual robot, but also the acquisition of new skills by observing other members of the community (robot, human, or virtual). We describe ALICE (Action Learning for Imitation via Correspondences between Embodiments), an implemented generic mechanism for solving the correspondence problem between differently embodied robots. ALICE enables a robotic agent to learn a behavioral repertoire suitable to performing a task by observing a model agent, possibly having a different type of body, joints, different number of degrees of freedom, etc. Previously we demonstrated that the character of imitation achieved will depend on the granularity of subgoal matching, and on the metrics used to evaluate successen
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofProcs of the 2003 IEEE Int Symposium on Computational Intelligence in Robotics and Automation
dc.titleSynchrony and perception in robotic imitation across embodimentsen
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionCentre for Computer Science and Informatics Research
rioxxterms.versionVoR
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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