文献
J-GLOBAL ID:201702262654149395
整理番号:17A1271413
粒状媒質におけるジャンプのための学習:Gauss過程回帰による統一最適制御合成【Powered by NICT】
Learning to jump in granular media: Unifying optimal control synthesis with Gaussian process-based regression
著者 (6件):
Chang Alexander H.
(School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA)
,
Hubicki Christian M.
(School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA)
,
Aguilar Jeff J.
(School of Physics, Georgia Institute of Technology, Atlanta, GA, USA)
,
Goldman Daniel I.
(School of Physics, Georgia Institute of Technology, Atlanta, GA, USA)
,
Ames Aaron D.
(School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA)
,
Vela Patricio A.
(School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2017
号:
ICRA
ページ:
2154-2160
発行年:
2017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)