Autonomous Visual Control of a Mobile Robot

Abstract

An autonomous mobile robot with a vision based target acquisition system must be able to find and maintain fixation on a moving target while the system itself is in motion. This capability is achieved by most animate systems, in addition to man, but has proven to be difficult for artificial systems. We propose that efficient and extensible solutions to the target acquisition and maintenance problem may be found when the machine sensor-effector control algorithms emulate the mechanisms employed by biological systems. In nature, motion provides the foundation for visual target detection, acquisition, tracking and trailing, or pursuit. We present in this paper a summary of some simple and robust visual motion based mechanisms we have developed to solve these problems, and describe their implementation in an autonomous visually controlled mobile robot.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1994
Accession Number
ADA422533

Entities

People

  • Hoa G. Nguyen
  • Michael R. Blackburn

Organizations

  • Naval Command, Control and Ocean Surveillance Center

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Acquisition
  • Cameras
  • Collision Avoidance
  • Control Systems
  • Detection
  • Detectors
  • Motion Detectors
  • Moving Targets
  • Ocean Surveillance
  • Surveillance
  • Systems Biology
  • Target Acquisition
  • Target Detection
  • Target Discrimination
  • Targets
  • Video
  • Visual Targets

Fields of Study

  • Computer science

Readers

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

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Learning Algorithms
  • Autonomy
  • Autonomy - Autonomous System Control