title: Autonomous learning and reproduction of complex sequences: a multimodal architecture for bootstraping imitation games
creator: Andry, Pierre
creator: Gaussier, Philippe
creator: Nadel, Jacqueline
subject: Machine Learning
subject: Neural Nets
subject: Robotics
description: This paper introduces a control architecture for the learning of complex sequence of gestures applied to autonomous robots. The architecture is designed to exploit the robot internal sensory-motor dynamics generated by visual, proprioceptive, and predictive informations in order to provide intuitive behaviors in the purpose of natural interactions with humans.
publisher: Lund University Cognitive Studies
contributor: Berthouze, Luc
contributor: Kaplan, Frédéric
contributor: Kozima, Hideki
contributor: Yano, Hiroyuki
contributor: Konczak, Jürgen
contributor: Metta, Giorgio
contributor: Nadel, Jacqueline
contributor: Sandini, Giulio
contributor: Stojanov, Georgi
contributor: Balkenius, Christian
date: 2005
type: Conference Paper
type: PeerReviewed
format: application/pdf
identifier: http://cogprints.org/4979/1/andry.pdf
identifier:   Andry, Pierre and Gaussier, Philippe and Nadel, Jacqueline  (2005) Autonomous learning and reproduction of complex sequences: a multimodal architecture for bootstraping imitation games.  [Conference Paper]     
relation: http://cogprints.org/4979/