文献
J-GLOBAL ID:202202231730236964
整理番号:22A0203955
擬人型マニピュレータの人間類似冗長性最適化のための増分学習フレームワーク【JST・京大機械翻訳】
An Incremental Learning Framework for Human-Like Redundancy Optimization of Anthropomorphic Manipulators
著者 (6件):
Su Hang
(Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy)
,
Qi Wen
(Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy)
,
Hu Yingbai
(Department of Informatics, Technical University of Munich, Munich, Germany)
,
Karimi Hamid Reza
(Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy)
,
Ferrigno Giancarlo
(Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy)
,
Momi Elena De
(Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy)
資料名:
IEEE Transactions on Industrial Informatics
(IEEE Transactions on Industrial Informatics)
巻:
18
号:
3
ページ:
1864-1872
発行年:
2022年
JST資料番号:
W1434A
ISSN:
1551-3203
CODEN:
ITIICH
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)