Towards Robot Intermodal Matching Using Spiking Neurons
File(s)EnejeDemiris03.pdf (1.47 MB)
Accepted version
Author(s)
Eneje,E.
Demiris,Y.
Type
Conference Paper
Abstract
For a robot to successfully learn from demonstration it must posses the ability to reproduce the actions of a teacher. For this to happen, the robot must generate motor signals to match its proprioceptively perceived state with that of the visually perceived state of a teacher. In this paper we describe a real time matching model at a neural level of description. Experimental results from matching of arm movements, using dynamically simulated articulated robots, are presented.
Editor(s)
Billard, A
Siegwart, R
Date Issued
2003-10
Citation
2003, pp.95-99
Start Page
95
End Page
99
Copyright Statement
© 2003 The Authors
Description
09.1.14 KB Ok to add accepted version to spiral, author retains copyright
Identifier
http://lasa.epfl.ch/events/events/iros03workshop/
Source
IROS'03 Workshop on Programming by Demonstration
Source Place
Las Vegas, USA
Publication Status
Published
Publisher URL
Start Date
2003-10-31
Finish Date
2003-10-31
Coverage Spatial
Las Vegas, USA