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

Tetsuya Ogata; Takaaki Komiya; Shigeki Sugano

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

Tetsuya Ogata^*, Takaaki Komiya, Shigeki Sugano

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-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 language	English
Pages (from-to)	II-1005 - II-1010
Journal	Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume	2
Publication status	Published - 1999 Dec 1
Event	1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics' - Tokyo, Jpn Duration: 1999 Oct 12 → 1999 Oct 15

ASJC Scopus subject areas

Control and Systems Engineering
Hardware and Architecture

Cite this

Human-robot communication by physical interaction - distributed agent control system and the learning algorithm. / Ogata, Tetsuya; Komiya, Takaaki; Sugano, Shigeki.
In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Vol. 2, 01.12.1999, p. II-1005 - II-1010.

Research output: Contribution to journal › Conference article › peer-review

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AB - 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.

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JO - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

JF - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

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Y2 - 12 October 1999 through 15 October 1999

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

Abstract

ASJC Scopus subject areas

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