Acquisition of internal representation in robots - toward human-robot communication using primitive language

Tetsuya Ogata, Yoshihiro Matsuyama, Shigeki Sugano

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

This research aims to clarify behavior intelligence and human cooperation intelligence of robots by emotion models which are based on the robot's hardware structure. In this paper, a human's mental image (internal expression) is given consideration as a method for emotional expression of robots. The hypothesis model for the acquisition of the internal expression of robots and experimental results using a real autonomous robot are described.

Original languageEnglish
Pages (from-to)277-291
Number of pages15
JournalAdvanced Robotics
Volume14
Issue number4
DOIs
Publication statusPublished - 2000 Dec 1

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Human-Computer Interaction
  • Hardware and Architecture
  • Computer Science Applications

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