文献
J-GLOBAL ID:202002285664665055
整理番号:20A2616813
強化学習に基づく運動計画手法レジデントトラッキングロボットの研究【JST・京大機械翻訳】
A study for Motion-Planning Method Resident-tracking Robot based on Reinforcement Learning
著者 (7件):
Sugimoto Masashi
(Electrical and Electronic Engineering Course, Ehime University,Division of Electrical and Electronic Engineering and Computer Science,3 Bunkyo-cho, Matsuyama City,Ehime Pref.,Japan,790-8577)
,
Yoshioka Takashi
(National Institute of Technology, Kagawa College,Department of Electrical and Computer Engineering,355 Chokushi-cho, Takamatsu City,Kagawa Pref.,Japan,761-8058)
,
Ishii Kohei
(National Institute of Technology, Kagawa College.,Department of Electro-Mechanical Systems Engineering,355 Chokushi-cho, Takamatsu City,Kagawa Pref.,Japan,761-8058)
,
Nonaka Shogo
(National Institute of Technology, Tsuyama College,Department of Integrated Science and Technology,624-1 Numa, Tsuyama City,Okayama Pref.,Japan,790-8577)
,
Deguchi Mikio
(National Institute of Technology, Niihama College,Department of Electronics and Control Engineering,7-1 Yakumo-cho, Niihama City,Ehime Pref.,Japan,790-8580)
,
Tsuzuki Shinji
(Electrical and Electronic Engineering Course, Ehime University,Division of Electrical and Electronic Engineering and Computer Science,3 Bunkyo-cho, Matsuyama City,Ehime Pref.,Japan,790-8577)
,
Hiran Masatsugu
(National Institute of Technology, Niihama College,Department of Electrical Engineering and Information Science,7-1 Yakumo-cho, Niihama City,Ehime Pref.,Japan,792-8580)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2019
号:
MHS
ページ:
1-5
発行年:
2019年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)