ウ　ジンソク   WOO JINSEOK   禹　珍碩    所属   工学部 機械工学科    職種   専任講師
言語種別	英語
発行・発表の年月	2019/05
形態種別	学術論文
査読	査読あり
標題	Nonverbal Communication based on Instructed Learning for Socially Embedded Robot Partners
執筆形態	共著
掲載誌名	Journal of Advanced Computational Intelligence and Intelligent Informatics
掲載区分	国外
出版社・発行元	Fuji Technology Press
巻・号・頁	23(3),pp.584-591
総ページ数	8
著者・共著者	Ryosuke Tanaka, Jinseok Woo, and Naoyuki Kubota
概要	The research and development of robot partners have been actively conducted to support human daily life. Human-robot interaction is one of the important research field, in which verbal and nonverbal communication are essential elements for improving the interactions between humans and robots. Thus, the purpose of this research was to establish a method to adapt a human-robot interaction mechanism for robot partners to various situations. In the proposed system, the robot needs to analyze the gestures of humans to interact with them. Humans have the ability to interact according to dynamically changing environmental conditions. Therefore, when robots interact with a human, it is necessary for robots to interact appropriately by correctly judging the situation according to human gestures to carry out natural human-robot interaction. In this paper, we propose a constructive methodology on a system that enables nonverbal communication elements for human-robot interaction. The proposed method was validated through a series of experiments.
外部リンクURL	https://www.fujipress.jp/jaciii/jc/jacii002300030584/