Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/5971

TitleAction-understanding and imitation learning in a robot-human task
Author(s)Erlhagen, Wolfram
Mukovskiy, Albert
Bicho, E.
Pannin, Giorgio
Kiss, Casba
Knoll, Alois
Van Schie, Hein
Bekkering, Harold
Issue date9-Jan-2007
PublisherSpringer Verlag
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.
Abstract(s)We 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.
TypeBook part
URIhttp://hdl.handle.net/1822/5971
Peer-Reviewedyes
AccessOpen access
Appears in Collections:DEI - Livros e capítulos de livros

Files in This Item:
File Description SizeFormat 
chapter_Lecture Notes_on_Computer_Science_Springer_Verlag_2005.pdfDocumento principal3,82 MBAdobe PDFView/Open

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID