文献
J-GLOBAL ID:202202246934794040
整理番号:22A0980943
深層学習に基づくロボット理解を改善するためのアフォーダンスの利用【JST・京大機械翻訳】
Using Affordances to Improve Robotic Understanding Based on Deep Learning
著者 (6件):
Yi Chang’an
(School of Electronic and Information Engineering, School of Mechatronic Engineering and Automation, Business School, Foshan University, Foshan, China)
,
Chen Haotian
(School of Electronic and Information Engineering, School of Mechatronic Engineering and Automation, Business School, Foshan University, Foshan, China)
,
Zhong Jingtang
(School of Electronic and Information Engineering, School of Mechatronic Engineering and Automation, Business School, Foshan University, Foshan, China)
,
Liu Xianguo
(School of Electronic and Information Engineering, School of Mechatronic Engineering and Automation, Business School, Foshan University, Foshan, China)
,
Hu Xiaosheng
(School of Electronic and Information Engineering, School of Mechatronic Engineering and Automation, Business School, Foshan University, Foshan, China)
,
Xu Yonghui
(Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, China)
資料名:
Lecture Notes in Electrical Engineering
(Lecture Notes in Electrical Engineering)
巻:
861
ページ:
2467-2476
発行年:
2022年
JST資料番号:
W5070A
ISSN:
1876-1100
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)