Adaptation of robot's perception of fuzzy linguistic information by evaluating vocal cues for controlling a robot manipulator

A. G.Buddhika P. Jayasekara, Keigo Watanabe, Kazuo Kiguchi, Kiyotaka Izumi

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

This article proposes a method for adapting a robot's perception of fuzzy linguistic information by evaluating vocal cues. The robot's perception of fuzzy linguistic information such as "very little" depends on the environmental arrangements and the user's expectations. Therefore, the robot's perception of the corresponding environment is modified by acquiring the user's perception through vocal cues. Fuzzy linguistic information related to primitive movements is evaluated by a behavior evaluation network (BEN). A vocal cue evaluation system (VCES) is used to evaluate the vocal cues for modifying the BEN. The user's satisfactory level for the robot's movements and the user's willingness to change the robot's perception are identified based on a series of vocal cues to improve the adaptation process. A situation of cooperative rearrangement of the user's working space is used to illustrate the proposed system by a PA-10 robot manipulator.

Original languageEnglish
Pages (from-to)5-9
Number of pages5
JournalArtificial Life and Robotics
Volume15
Issue number1
DOIs
Publication statusPublished - Sep 3 2010

Keywords

  • Fuzzy linguistic information
  • Fuzzy voice commands
  • Robot control
  • Vocal cues

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Artificial Intelligence

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