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Cobot

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Cobot
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ISSN:
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print: 2752-5813
研究领域:
collaborative robots-
创刊年份:
2021年
Gold OA文章占比:
Gold OA文章占比是指一个总体中金色OA文章数量占总体文章数量的比重。OA期刊的文章主要通过金色通道(Gold road,也称为Gold OA,即期刊官网)和绿色通道(Green road,或Green OA)实现开放获取。金色通道是开放获取期刊通过自己的官网来实现的,而绿色通道是通过把文章自存档于机构知识库(Institutional Repositories,比如哈佛大学学术库DASH)或学科知识库中来实现。
0.00%
原创研究文献占比:
0.00%
期刊官网:
期刊介绍英文:
Cobot is a rapid multidisciplinary open access publishing platform for research focused on the interdisciplinary field of collaborative robots. The aim of Cobot is to enhance knowledge and share the results of the latest innovative technologies for the technicians, researchers and experts engaged in collaborative robot research. The platform will welcome submissions in all areas of scientific and technical research related to collaborative robots, and all articles will benefit from open peer review. The scope of Cobot includes, but is not limited to: ● Intelligent robots ● Artificial intelligence ● Human-machine collaboration and integration ● Machine vision ● Intelligent sensing ● Smart materials ● Design, development and testing of collaborative robots ● Software for cobots ● Industrial applications of cobots ● Service applications of cobots ● Medical and health applications of cobots ● Educational applications of cobots As well as research articles and case studies, Cobot accepts a variety of article types including method articles, study protocols, software tools, systematic reviews, data notes, brief reports, and opinion articles.

发文信息

出版语言:
English
出版国家(地区):
China
投稿网址:
出版商:
Taylor & Francis Group
编辑部地址:
AUBO (Beijing) Intelligent Science and Technology Co., Ltd
PubMed链接:

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Cobot - 最新文献

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Load torque observation and compensation for permanent magnet synchronous motor based on sliding mode observer

Pub Date : 2024-07-23 DOI: 10.12688/cobot.17689.1 Zenghui Lu, Hongjie Fan, Dong Xu

Design and optimization of soft colonoscopy robot with variable cross section

Pub Date : 2024-04-24 DOI: 10.12688/cobot.17677.1 Gang Chen, Weiren Yu, Yutong Wu, Jianxiao Zheng

Robot-assisted homecare for older adults: A user study on needs and challenges

Pub Date : 2024-01-23 DOI: 10.12688/cobot.17644.2 Zhidong Su, Fei Liang, Weihua Sheng, Alex Bishop
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