---
abstract: 'We present the first stages of the developmental course of a robot using vision and a 5 degree of freedom robotic arm. During an exploratory behavior, the robot learns visuo-motor control of its mechanical arm. We show how a simple neural network architecture, combining elementary vision, a self-organized algorithm, and dynamical Neural Fields is able to learn and use proper associations between vision and arm movements, even if the problem is ill posed (2-D toward 3-D mapping and also mechanical redundancy between different joints). Highlighting the generic aspect of such an architecture, we show as a robotic result that it is used as a basis for simple gestural imitations of humans. Finally we show how the imitative mechanism carries on the developmental course, allowing the acquisition of more and more complex behavioral capabilities.'
altloc:
  - http://www.lucs.lu.se/ftp/pub/LUCS_Studies/LUCS94/Andry.pdf
chapter: ~
commentary: ~
commref: ~
confdates: 'August 10-11, 2002'
conference: 'Second International Workshop on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems'
confloc: 'Edinburgh, Scotland'
contact_email: ~
creators_id: []
creators_name:
  - family: Andry
    given: Pierre
    honourific: ''
    lineage: ''
  - family: Gaussier
    given: Philippe
    honourific: ''
    lineage: ''
  - family: Nadel
    given: Jacqueline
    honourific: ''
    lineage: ''
date: 2002
date_type: published
datestamp: 2003-09-26
department: ~
dir: disk0/00/00/25/00
edit_lock_since: ~
edit_lock_until: ~
edit_lock_user: ~
editors_id: []
editors_name:
  - family: Prince
    given: Christopher G.
    honourific: ''
    lineage: ''
  - family: Demiris
    given: Yiannis
    honourific: ''
    lineage: ''
  - family: Marom
    given: Yuval
    honourific: ''
    lineage: ''
  - family: Kozima
    given: Hideki
    honourific: ''
    lineage: ''
  - family: Balkenius
    given: Christian
    honourific: ''
    lineage: ''
eprint_status: archive
eprintid: 2500
fileinfo: /style/images/fileicons/application_pdf.png;/2500/1/Andry.pdf
full_text_status: public
importid: ~
institution: ~
isbn: ~
ispublished: pub
issn: ~
item_issues_comment: []
item_issues_count: 0
item_issues_description: []
item_issues_id: []
item_issues_reported_by: []
item_issues_resolved_by: []
item_issues_status: []
item_issues_timestamp: []
item_issues_type: []
keywords: 'robotics, neural network, self-organization, imitation'
lastmod: 2011-03-11 08:55:03
latitude: ~
longitude: ~
metadata_visibility: show
note: ~
number: ~
pagerange: 7-15
pubdom: TRUE
publication: ~
publisher: Lund University Cognitive Studies
refereed: TRUE
referencetext: ~
relation_type: []
relation_uri: []
reportno: ~
rev_number: 12
series: ~
source: ~
status_changed: 2007-09-12 16:45:14
subjects:
  - comp-sci-mach-learn
  - comp-sci-neural-nets
  - comp-sci-robot
succeeds: ~
suggestions: ~
sword_depositor: ~
sword_slug: ~
thesistype: ~
title: From Visuo-Motor Development to Low-level Imitation
type: confpaper
userid: 3507
volume: 94
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