文献
J-GLOBAL ID:202202236780111268
整理番号:22A0397295
ロボット多重ペグインホール組立のためのファジィ論理駆動可変時間スケール予測ベース強化学習【JST・京大機械翻訳】
Fuzzy Logic-Driven Variable Time-Scale Prediction-Based Reinforcement Learning for Robotic Multiple Peg-in-Hole Assembly
著者 (5件):
Hou Zhimin
(Department of Mechanical Engineering, State Key Laboratory of Tribology, Beijing Key Laboratory of Precision/Ultra-Precision Manufacturing Equipment Control, Tsinghua University, Beijing, China)
,
Li Zhihu
(Department of Mechanical Engineering, State Key Laboratory of Tribology, Beijing Key Laboratory of Precision/Ultra-Precision Manufacturing Equipment Control, Tsinghua University, Beijing, China)
,
Hsu Chenwei
(Department of Mechanical Engineering, State Key Laboratory of Tribology, Beijing Key Laboratory of Precision/Ultra-Precision Manufacturing Equipment Control, Tsinghua University, Beijing, China)
,
Zhang Kuangen
(Department of Mechanical Engineering, State Key Laboratory of Tribology, Beijing Key Laboratory of Precision/Ultra-Precision Manufacturing Equipment Control, Tsinghua University, Beijing, China)
,
Xu Jing
(Department of Mechanical Engineering, State Key Laboratory of Tribology, Beijing Key Laboratory of Precision/Ultra-Precision Manufacturing Equipment Control, Tsinghua University, Beijing, China)
資料名:
IEEE Transactions on Automation Science and Engineering
(IEEE Transactions on Automation Science and Engineering)
巻:
19
号:
1
ページ:
218-229
発行年:
2022年
JST資料番号:
W1406A
ISSN:
1545-5955
CODEN:
ITASC7
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)