Project ArteSImit Artefact Structural Learning through Imitation (TU M - PowerPoint PPT Presentation

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Project ArteSImit Artefact Structural Learning through Imitation (TU M

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Wolfram Erlhagen and colleagues (Cognitive Modeling, Minho) ... new findings in experimental neurophysiology and advanced neuromodelling of the ... – PowerPoint PPT presentation

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Title: Project ArteSImit Artefact Structural Learning through Imitation (TU M


1
Project ArteSImit Artefact Structural Learning
through Imitation(TU München, U Parma, U
Tübingen, U Minho, KU Nijmegen)Giorgio Panin -
TUM
2
Artesimit Project Partners
  • Alois Knoll and colleagues (project coordinator,
    Robotics, Munich)
  • Giacomo Rizzolatti and colleagues
    (Neurophysiology, Parma)
  • Peter Thier and colleagues (Cognitive
    Neuroscience, Tübingen)
  • Wolfram Erlhagen and colleagues (Cognitive
    Modeling, Minho)
  • Harold Bekkering and colleagues (Cognitive
    Neuropsychology, Nijmegen)

3
The concept of goal-directed Imitation
  • Central issue of imitation
  • do we imitate movements (means) or consequences
    (goals) of the observed behavior?
  • Movements somehow need to be directly mapped
    (via-point approach), whereas goals need to be
    represented.
  • Movement mapping assumes homologue bodies, full
    access of the whole movement and stable
    environments.
  • Goal representation assumes an association
    between an (observed) action and the (observed)
    consequence.

4
How to work together?
  • Behavioral measurements (healthy and clinical
    patients)
  • Brain research (single-cell, fMRI, MEG, EEG)
  • Modeling (Dynamic neural fields)
  • Robotics (Visual analysis, cognition, and
    artefact control)
  • THE solution One common paradigm

5
Common paradigm
Movement 1
Starting position
Movement 2
A LED gives information about either the goal or
the means
6
Parietal Mirror Neuron findings
Motor responses of parietal neurons
Motor task
Visual responses of parietal mirror neurons
Observation task
7
Architecture of the dynamic model
Bridge Paradigm
PFC Goal representations Task input Object
properties (e.g. colour) STS Visual
desciption of grip and trajectory PF Sequence
of means F5 Movement primitives
8
Visual system in action Task recognition
Complete information acquisition for the decision
and planning tasks
9
Learning I Association between object properties
and goal
10
Learning II Copying the means of the teacher
11
Goal-directed imitation
12
Partial information Cueing of the goal
13
Partial information Cueing of the means
14
Summary
  • The project combined ...
  • the development of a new paradigm for
    goal-directed imitation with imaging studies
    across all modalities
  • new findings in experimental neurophysiology and
    advanced neuromodelling of the structure of the
    PFC-(STS-PF-F5)-coupling to develop and implement
    computer-operational models for goal-directed
    imitation
  • the development of a powerful model-based hand
    posture recogniser (using only one B/W camera)
  • into ...
  • A complete artefact (robot system) capable of
    mimicking imitation behaviour of creatures all
    project goals have been met!
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