Journal of Robotics, Networking and Artificial Life

Volume 2, Issue 1, June 2015, Pages 34 - 39

Developing a Dividual Model Using a Modular Neural Network for Human-Robot Interaction

Authors
Toshiyuki Tanaka, Kunikazu Kobayashi
Corresponding Author
Toshiyuki Tanaka
Available Online 1 June 2015.
DOI
https://doi.org/10.2991/jrnal.2015.2.1.9How to use a DOI?
Keywords
Model of dividual, Human-robot interaction, Robot, Modular neural network, Reinforcement leaning
Abstract

Currently, in the field of human-robot interaction (HRI), robots have a problem that can only interact the same at all times with humans. In this paper, therefore, we introduce the concept called a dividual and build a model of the dividual to grow through interactions with others. In addition, using a modular neural network and reinforcement learning (actor-critic), we confirmed the process to choose an appropriate dividual out of plural dividuals.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
2 - 1
Pages
34 - 39
Publication Date
2015/06/01
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
https://doi.org/10.2991/jrnal.2015.2.1.9How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Toshiyuki Tanaka
AU  - Kunikazu Kobayashi
PY  - 2015
DA  - 2015/06/01
TI  - Developing a Dividual Model Using a Modular Neural Network for Human-Robot Interaction
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 34
EP  - 39
VL  - 2
IS  - 1
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2015.2.1.9
DO  - https://doi.org/10.2991/jrnal.2015.2.1.9
ID  - Tanaka2015
ER  -