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--- 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. altloc: - http://www.lucs.lu.se/ftp/pub/LUCS_Studies/LUCS101/Andry.pdf chapter: ~ commentary: ~ commref: ~ confdates: 'August 4-5, 2003' conference: 'Third International Workshop on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems' confloc: 'Boston, MA, USA' contact_email: ~ creators_id: [] creators_name: - family: Andry given: Pierre honourific: '' lineage: '' - family: Gaussier given: Philippe honourific: '' lineage: '' - family: Nadel given: Jacqueline honourific: '' lineage: '' - family: Courant given: Michele honourific: '' lineage: '' date: 2003 date_type: published datestamp: 2004-02-12 department: ~ dir: disk0/00/00/33/43 edit_lock_since: ~ edit_lock_until: ~ edit_lock_user: ~ editors_id: [] editors_name: - family: Prince given: Christopher G. honourific: '' lineage: '' - family: Berthouze given: Luc honourific: '' lineage: '' - family: Kozima given: Hideki honourific: '' lineage: '' - family: Bullock given: Daniel honourific: '' lineage: '' - family: Stojanov given: Georgi honourific: '' lineage: '' - family: Balkenius given: Christian honourific: '' lineage: '' eprint_status: archive eprintid: 3343 fileinfo: /style/images/fileicons/application_pdf.png;/3343/1/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: 'imitative artificial system, developing system, self-organizing map, robotic movement control' lastmod: 2011-03-11 08:55:26 latitude: ~ longitude: ~ metadata_visibility: show note: ~ number: ~ pagerange: 157-158 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 16:50:15 subjects: - comp-sci-mach-learn - comp-sci-neural-nets - comp-sci-robot succeeds: ~ suggestions: ~ sword_depositor: ~ sword_slug: ~ thesistype: ~ title: A Developmental Approach for low-level Imitations type: confposter userid: 3507 volume: 101