An Attentional System for a Humanoid Robot Exploiting Space Variant Vision

Abstract

This paper describes an implementation of an attentional system for a humanoid robot based completely on space variant vision (in particular log-polar). The aim is that of providing the robot with a suitable measure of position, speed and saliency of possibly interesting objects for saccading and tracking. The major advantage of log-polar based imaging is related to the reduced number of pixel while maintaining a large field of view. This arrangement is very well suited for motor control, where the high-resolution center (fovea) alows precise positioning and, at the same time, the coarse resolution periphery permits detection of potential targets. Algorithms for color processing, optic flow, and disparity computation were developed within this architecture. The attentional modules are intended as the first layer of a more complicated system, which shall include learning of object recognition, trajectory tracking, and naive physics understanding during the natural interacion of the robot with the environment.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2001
Accession Number
ADA434729

Entities

People

  • Giorgio Metta

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Automata Theory
  • Brain
  • Cognitive Science
  • Computer Science
  • Computer Vision
  • Control Systems
  • Detectors
  • Eye Movements
  • High Resolution
  • Neural Networks
  • Neurosciences
  • Object Recognition
  • Parallel Computing
  • Robots
  • Visual Servoing

Readers

  • Computer Vision.
  • Robotics and Automation.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • AI & ML
  • Autonomy
  • Autonomy - Autonomous System Control
  • Space
  • Space - Space Objects
  • Space - Spacecraft Maneuvers