Developing a Dividual Model Using a Modular Neural Network for Human-Robot Interaction
- 10.2991/jrnal.2015.2.1.9How to use a DOI?
- Model of dividual, Human-robot interaction, Robot, Modular neural network, Reinforcement leaning
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.
- © 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 - 10.2991/jrnal.2015.2.1.9 ID - Tanaka2015 ER -