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Artefact Structural Learning through Imitation
Artefact Structural Learning through Imitation
Artefact Structural Learning through Imitation
Artefact Structural Learning through Imitation
Artefact Structural Learning through Imitation
Artefact Structural Learning through Imitation
Artefact Structural Learning through Imitation
Artefact Structural Learning through Imitation
Artefact Structural Learning through Imitation
Artefact Structural Learning through Imitation
Artefact Structural Learning through Imitation
Artefact Structural Learning through Imitation
Artefact Structural Learning through Imitation
Artefact Structural Learning through Imitation
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Artefact Structural Learning through Imitation

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  • 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. _________________________________________________________ _________________________________________________________ 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. The concept of goal-directed Imitation
  • 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 Starting position Movement 1 Movement 2 A LED gives information about either the goal or the means
  • 6. _________________________________________________________ _________________________________________________________ Motor responses of parietal neurons Parietal Mirror Neuron findings Observation task Visual responses of parietal mirror neurons Motor task
  • 7. _________________________________________________________ _________________________________________________________ Architecture of the dynamic model PFC: Goal representations Task input Object properties (e.g. colour) STS: Visual desciption of grip and trajectory PF: Sequence of means F5: Movement primitives Bridge Paradigm
  • 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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