文献
J-GLOBAL ID:202202250682768345
整理番号:22A1049665
人間-ロボット協調作業におけるプロアクティブ支援のためのデモンストレーションからの環境適応学習【JST・京大機械翻訳】
Environment-adaptive learning from demonstration for proactive assistance in human-robot collaborative tasks
著者 (10件):
Qian Kun
(School of Automation, Southeast University, Nanjing 210096, China)
,
Qian Kun
(Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education of China, China)
,
Xu Xin
(School of Automation, Southeast University, Nanjing 210096, China)
,
Xu Xin
(Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education of China, China)
,
Liu Huan
(School of Automation, Southeast University, Nanjing 210096, China)
,
Liu Huan
(Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education of China, China)
,
Bai Jishen
(School of Automation, Southeast University, Nanjing 210096, China)
,
Bai Jishen
(Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education of China, China)
,
Luo Shan
(Department of Computer Science, University of Liverpool, Liverpool, L69 3BX, UK)
,
Luo Shan
(Centre for Robotics Research, Department of Engineering, King’s College London, London, WC2R 2LS, UK)
資料名:
Robotics and Autonomous Systems
(Robotics and Autonomous Systems)
巻:
151
ページ:
Null
発行年:
2022年
JST資料番号:
C0133C
ISSN:
0921-8890
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)