Towards a Framework for Robot Cognition

Abstract

This work describes a framework for control of attention and for pattern categorization using a robot platform consisting of an articulated stereo-head with four degrees of freedom (pan, tilt, left verge, and right verge).As a practical result of this work, the system can select a region of interest, perform attention shifts involving saccadic movements, perform efficient feature extraction and recognition, incrementally construct a world map, and keep the map consistent with a current perception of the world. Another important result for the attentional mechanism is that the system is capable of analyzing all regions of its world, selected according to a salience map.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2000
Accession Number
AD1120001

Entities

People

  • Antonio A. Oliveira
  • David S. Wheeler
  • Luiz M. Goncalves
  • Roderic A. Grupen

Organizations

  • University of Massachusetts Amherst

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Artificial Intelligence Software
  • Automata Theory
  • Bayesian Networks
  • Computational Complexity
  • Computational Science
  • Computations
  • Computer Graphics
  • Computer Science
  • Computer Vision
  • Computers
  • Content Addressable Memory
  • Dimensionality Reduction
  • Feature Extraction
  • Host Computers
  • Identification
  • Image Processing
  • Machine Learning
  • Neural Networks
  • Random Variables
  • Recognition
  • Reinforcement Learning

Fields of Study

  • Computer science

Readers

  • Computer Vision.
  • Robotics and Automation.
  • Strategic Security Studies

Technology Areas

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