creators_name: Andry, Pierre
creators_name: Gaussier, Philippe
creators_name: Nadel, Jacqueline
creators_name: Courant, Michele
editors_name: Prince, Christopher G.
editors_name: Berthouze, Luc
editors_name: Kozima, Hideki
editors_name: Bullock, Daniel
editors_name: Stojanov, Georgi
editors_name: Balkenius, Christian
type: confposter
datestamp: 2004-02-12
lastmod: 2011-03-11 08:55:26
metadata_visibility: show
title: A Developmental Approach for low-level Imitations
ispublished: pub
subjects: comp-sci-mach-learn
subjects: comp-sci-neural-nets
subjects: comp-sci-robot
full_text_status: public
keywords: imitative artificial system, developing system, self-organizing map, robotic movement control
abstract: Historically, a lot of authors in psychology and in
robotics tend to separate "true imitation" and its
related high-level mechanisms which seem to be exclusive to human adult, from low-level imitations or
"mimicries" observed on babies or primates. Closely,
classical researches suppose that an imitative artificial system must be able to build a model of
the demonstrator's geometry, in order to reproduce finely the movements on each joints. Conversely, we
will advocate that if imitation is viewed as a part of a
developmental course, then (1) an artificial developing system does not need to build any internal model
of the other, to perform real-time and low-level imitations of human movements despite the related correspondence problem between man and robot and,
(2) a simple sensory-motor loop could be at the basis
of multiples heterogeneous imitative behaviors often
explained in the literature by different models.
date: 2003
date_type: published
volume: 101
publisher: Lund University Cognitive Studies
pagerange: 157-158
refereed: TRUE
citation:   Andry, Pierre and Gaussier, Philippe and Nadel, Jacqueline and Courant, Michele  (2003) A Developmental Approach for low-level Imitations.  [Conference Poster]     
document_url: http://cogprints.org/3343/1/Andry.pdf