Envisioning: Mental Rotation-based Semi-reactive Robot Control

Abstract

This paper describes ongoing research into the role of optic-flow derived spatial representations and their relation to cognitive computational models of mental rotation in primates, with the goal of producing effective and unique autonomous robot navigational capabilities. A theoretical framework is outlined based on a vectorial interlingua spanning perception, cognition and motor control. Progress to date on its implementation within an autonomous robot control architecture is presented.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2012
Accession Number
ADA563085

Entities

People

  • Frank Dellaert
  • Joan Devassy
  • Ronald C. Arkin

Organizations

  • Georgia Tech

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Animals
  • Central Nervous System
  • Cognition
  • Computer Vision
  • Control Systems
  • Direction Finding
  • Flow Fields
  • Guidance
  • Navigation
  • Nervous System
  • Psychology
  • Robots
  • Rotation
  • Simulations
  • Spinal Cord
  • Three Dimensional
  • Two Dimensional

Readers

  • Computational Linguistics
  • Robotics and Automation.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Autonomous System Control