Human-robot communication by physical interaction - distributed agent control system and the learning algorithm

Tetsuya Ogata, Takaaki Komiya, Shigeki Sugano

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

This study aims to clarify the cooperation intelligence of robots with the emotion model referring to the human biological system. This paper describes the functions of the arm system of the behavior-based robot, Wamoeba-2, which has an emotion model and can communicate with human. The specifications of the arm system were designed based on the consideration of the human robot physical interaction. Each joint of the arm is equipped with a torque sensor, and the arm is controlled by a distributed agent network system. The network architecture is acquired in a neural network by the feedback-error-learning algorithm. In the experiment, human beings can play with the arm system by physical interaction.

Original languageEnglish
Pages (from-to)II-1005 - II-1010
JournalProceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume2
Publication statusPublished - 1999 Dec 1
Event1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics' - Tokyo, Jpn
Duration: 1999 Oct 121999 Oct 15

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Hardware and Architecture

Fingerprint Dive into the research topics of 'Human-robot communication by physical interaction - distributed agent control system and the learning algorithm'. Together they form a unique fingerprint.

Cite this