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

被引：2
|
作者：
Tanaka, Toshiyuki [1 ]
Kobayashi, Kunikazu [1 ]
机构：
[1] Aichi Prefectural Univ, 1522-3 Ibaragabasama, Nagakute, Aichi 4801198, Japan
来源：
JOURNAL OF ROBOTICS NETWORKING AND ARTIFICIAL LIFE | 2015年 / 2卷 / 01期
关键词：
Model of dividual; Human-robot interaction; Robot; Modular neural network; Reinforcement leaning;
D O I：
10.2991/jrnal.2015.2.1.9
中图分类号：
TP24 [机器人技术];
学科分类号：
080202 ; 1405 ;
摘要：
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.
引用
收藏
页码：34 / 39
页数：6
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