Please use this identifier to cite or link to this item:
http://hdl.handle.net/1822/4458| Title: | Action understanding and imitation learning in a robot-human task |
| Author(s): | Erlhagen, Wolfram Mukovskiy, Albert Bicho, E. Panin, Giorgio Kiss, Casba Knoll, Alois Van Schie, Hein Bekkering, Harold |
| Keywords: | Imitation learning Robotics Dynamic field model Action understanding |
| Issue date: | 2005 |
| Publisher: | Springer |
| Journal: | Lecture Notes in Computer Science |
| Citation: | 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. |
| 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. |
| Type: | Conference paper |
| URI: | http://hdl.handle.net/1822/4458 |
| ISBN: | 3-540-28755-8 |
| DOI: | 10.1007/11550822_42 |
| ISSN: | 0302-9743 |
| Peer-Reviewed: | yes |
| Access: | Open access |
| Appears in Collections: | Offmath - Comunicações |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 36960261.pdf | Documento principal | 3,82 MB | Adobe PDF | View/Open |
