Brief paper: A neuro-fuzzy method applied to the motors of a stereovision system

  • Authors:

  • G. N. Marichal;J. Toledo;L. Acosta;E. J. González;G. Coll

  • Affiliations:

  • Department of Applied Physics, Electronics and Systems, University of La Laguna, La Laguna, Tenerife 38071, Spain;Department of Applied Physics, Electronics and Systems, University of La Laguna, La Laguna, Tenerife 38071, Spain;Department of Applied Physics, Electronics and Systems, University of La Laguna, La Laguna, Tenerife 38071, Spain;Department of Applied Physics, Electronics and Systems, University of La Laguna, La Laguna, Tenerife 38071, Spain;Department of Applied Physics, Electronics and Systems, University of La Laguna, La Laguna, Tenerife 38071, Spain

  • Venue:
  • Engineering Applications of Artificial Intelligence
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, a new approach for steering a binocular head is presented. This approach is based on extracting the expert's knowledge in order to improve the behaviour of the classical control strategies. This is carried out without inserting new elements in the system. Neuro-fuzzy techniques have been chosen in order to reach this target. As a result, a more friendly robotic system is achieved.