Fuzzy coach-player system for controlling a robot manipulator

Chandimal Jayawardena, Keigo Watanabe, Kiyotaka Izumi

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Natural language commands are information-rich and conscious because they are generated by intelligent human beings. Therefore, if it is possible to learn from such commands and reuse that knowledge, it will be very effective and useful. In this chapter, learning from information-rich voice commands for controlling a robot is discussed. First, new concepts of fuzzy coach-player system and sub-coach for robot control with natural language commands are proposed. Then, the characteristics of subjective human decision-making process and learning from such decisions are discussed. Finally, an experiment conducted with a PA-10 redundant manipulator in order to establish the proposed concept is described. In the experiment, a probabilistic neural network (PNN) is used for learning.

Original languageEnglish
Title of host publicationArtificial Intelligence and Integrated Intelligent Information Systems
Subtitle of host publicationEmerging Technologies and Applications
PublisherIGI Global
Pages229-250
Number of pages22
ISBN (Print)9781599042497
DOIs
Publication statusPublished - Dec 1 2006
Externally publishedYes

ASJC Scopus subject areas

  • Computer Science(all)

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  • Cite this

    Jayawardena, C., Watanabe, K., & Izumi, K. (2006). Fuzzy coach-player system for controlling a robot manipulator. In Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications (pp. 229-250). IGI Global. https://doi.org/10.4018/978-1-59904-249-7.ch012