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	2010/08
形態種別	国際会議論文
査読	査読あり
標題	Steady-state Genetic Algorithms for Growing Topological Mapping and Localization
執筆形態	共著
掲載誌名	11th Pacific Rim International Conference on Artificial Intelligence (PRICAI2010)
掲載区分	国外
出版社・発行元	Springer Nature
巻・号・頁	pp.558-569
総ページ数	12
担当区分	筆頭著者,責任著者
著者・共著者	Jinseok Woo, Naoyuki Kubota, Beom-Hee Lee
概要	This paper proposes a method of simultaneous localization and mapping based on computational intelligence for a robot partner in unknown environments. First, we propose a method of topological map building based on a growing neural network. Next, we propose a method of localization based on steady-state genetic algorithm. Finally, we discuss the effectiveness of the proposed methods through several experimental results.
外部リンクURL	https://link.springer.com/chapter/10.1007/978-3-642-15246-7_51