Learning from Fuzzy Voice Commands by Intelligent Player in a Fuzzy Coach Player Systems for Controlling a Robot Manipulator

• Jayasekara Buddhika

  Saga University

• Watanabe Keigo

  Saga University

• Izumi Kiyotaka

  Saga University

Abstract

This paper proposes an intelligent player in a fuzzy coach player system for learning and controlling an industrial robot manipulator. The function of the intelligent player is implemented by a visual evaluation process based on visual coordination. It is performed by a supervised self organizing map (SSOM) and fuzzy voice commands are used to learn the visual evaluation. The learned system is capable of positioning the robot manipulator to a point in 3D working space as instructed by the voice commands. The proposed idea is demonstrated with a PA-10 industrial manipulator.

Journal

• SCIS & ISIS

  SCIS & ISIS 2008 (0), 1540-1545, 2008

  Japan Society for Fuzzy Theory and Intelligent Informatics

Keywords

• Robot Manipulator
• Fuzzy voice control
• Self organizing map

Details

• CRID: 1390001205589659008
• NII Article ID: 130004672786
• DOI: 10.14864/softscis.2008.0.1540.0
• Text Lang: en
• Data Source:
  • JaLC
  • CiNii Articles
• Abstract License Flag: Disallowed