By Topic

Conversation system for robot partners based on informationally structured space

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Kubota, N. ; Tokyo Metropolitan Univ., Tokyo, Japan ; Mori, T. ; Yorita, A.

This paper discusses a conversation system for robot partners based on informationally structured space using sensor networks. The conversation system is composed of (A) information support mode, (B) daily conversation mode, and (C) scenario conversation mode. The sensor network can extract the states on the person and environment through the informationally structured space, and the information support provides useful information in the daily life with a person. We apply a spiking neural network to extract environmental information. The proposed conversation system uses the information referred from the informationally structured space, and therefore, the same control architecture is applied to various robot partners. The experimental results show the effectiveness of the proposed method.

Published in:

Robotic Intelligence In Informationally Structured Space (RiiSS), 2011 IEEE Workshop on

Date of Conference:

11-15 April 2011