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View-Invariant Visuomotor Processing in Computational Mirror Neuron System for Humanoid.

Farhan Dawood1, Chu Kiong Loo1

  • 1Department of Artificial Intelligence, University of Malaya, Kuala Lumpur, Malaysia.

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Summary

This study models the development of mirror neuron systems in humanoid robots. It proposes that self-exploration and associative learning enable robots to acquire imitation skills, crucial for social interaction.

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Area of Science:

  • Robotics
  • Neuroscience
  • Computational Intelligence

Background:

  • Mirror neurons are crucial for imitation learning in primates.
  • Self-exploration is hypothesized to be key in infant mirror neuron system development.
  • The role of mirror neurons in encoding visual perspectives for humanoid robots remains underexplored.

Purpose of the Study:

  • To present a computational model for developing a mirror neuron system in humanoids.
  • To investigate the hypothesis that sensorimotor associative learning via self-exploration supports imitation.
  • To account for the view-dependency of neurons as an outcome of motor-visual information association.

Main Methods:

  • A computational model was developed for a humanoid robot.
  • The model utilized self-exploration via a mirror (simulated self-image) for associative learning.
  • The network learned mappings between motor commands and visual representations from various perspectives.

Main Results:

  • The model successfully established associative relationships between the robot's motor actions and its visual body image.
  • The learning process enabled the association of motor commands with diverse visual perspectives.
  • Simulation experiments validated the developed architecture on the DARwIn-OP humanoid robot.

Conclusions:

  • The proposed model demonstrates a viable pathway for developing mirror neuron systems in humanoids.
  • Self-exploration and associative learning are effective mechanisms for acquiring imitation skills in robots.
  • The model highlights the importance of view-dependency in mirror neuron system development for artificial agents.