Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/4458| Título: | Action understanding and imitation learning in a robot-human task |
| Autor(es): | Erlhagen, Wolfram Mukovskiy, Albert Bicho, E. Panin, Giorgio Kiss, Casba Knoll, Alois Van Schie, Hein Bekkering, Harold |
| Palavras-chave: | Imitation learning Robotics Dynamic field model Action understanding |
| Data: | 2005 |
| Editora: | Springer |
| Revista: | Lecture Notes in Computer Science |
| Citação: | DUCH, 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. |
| Resumo(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. |
| Tipo: | Artigo em ata de conferência |
| URI: | https://hdl.handle.net/1822/4458 |
| ISBN: | 3-540-28755-8 |
| DOI: | 10.1007/11550822_42 |
| ISSN: | 0302-9743 |
| Arbitragem científica: | yes |
| Acesso: | Acesso aberto |
| Aparece nas coleções: | Offmath - Comunicações |
Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| 36960261.pdf | Documento principal | 3,82 MB | Adobe PDF | Ver/Abrir |
