Positioning of a Robotic Manipulator through the Use of Visual Feedback.

Abstract

In this thesis a system for positioning a general purpose industrial robot by means of information extracted by computer vision system is described. The specific example implemented was the interception of a moving object by a robotic manipulator based on three sequential images of the object. The techniques used and constraints imposed are discussed. The robot used is an industrial G.E. P-5 robot with five degrees of freedom. Several experiments used to evaluate the various components of system error were run. The results of these experiments were compared to the behavior of a linear predictive kalman filter model of the system. A list of conclusions is presented along with a discussion of particular areas where improvements of this system can be made. A listing of the Fortran programs used and an outline of the camera-robot coordinate system calibration process are included in the appendices. Additional keywords. Image processing, Kinematics, Least squares method, Calibration, and Image acquisition. (Author)

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1985
Accession Number
ADA151933

Entities

People

  • M. T. O'donnell

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Artificial Intelligence
  • Cartesian Coordinates
  • Computer Graphics
  • Computer Programs
  • Computer Vision
  • Computers
  • Control Panels
  • Electrical Engineering
  • Engineering
  • Image Processing
  • Information Processing
  • New Hampshire
  • New York
  • Pattern Recognition
  • Two Dimensional

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Computer Science.
  • Robotics and Automation.

Technology Areas

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