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Embodied cognition for autonomous interactive robots.

Guy Hoffman1

  • 1Media Innovation Lab, School of Communication, Interdisciplinary Center Herzliya, Herzliya 46150, Israel. hoffman@idc.ac.il

Topics in Cognitive Science
|August 16, 2012
PubMed
Summary

This study proposes using modern Embodied Cognition (EC) principles for human-robot interaction. Applying EC

Area of Science:

  • Robotics and Artificial Intelligence
  • Cognitive Science
  • Human-Robot Interaction

Background:

  • Traditional robotics often uses symbolic approaches for human-like interaction.
  • Recent Embodied Cognition (EC) research covers complex cognitive processes relevant to social robots.

Purpose of the Study:

  • To propose a modern Embodied Cognition (EC) approach for autonomous robots interacting with humans.
  • To outline three core EC principles applicable to robot interaction: modal perception, action-cognition integration, and simulation-based biasing.

Main Methods:

  • Developed a computational framework based on three core EC principles.
  • Implemented the framework on two physical robot platforms.

Main Results:

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  • Demonstrated the applicability of EC principles to autonomous robot interaction.
  • Showcased a new paradigm for embodied human-robot interaction.

Conclusions:

  • Embodied Cognition offers a promising framework for developing more adept and interactive robots.
  • This approach integrates psychological and neurological findings for advanced robot behavior.