4.6 Review

Digital Twin for Human-Robot Collaboration in Manufacturing: Review and Outlook

期刊

APPLIED SCIENCES-BASEL
卷 12, 期 10, 页码 -

出版社

MDPI
DOI: 10.3390/app12104811

关键词

collaborative robot; digital twin; digital manufacturing; human-robot collaboration

资金

  1. European Union [820689]
  2. H2020 Societal Challenges Programme [820689] Funding Source: H2020 Societal Challenges Programme

向作者/读者索取更多资源

This paper provides insights into the approaches and challenges in creating digital twins of human-robot collaboration. It highlights the importance of digital twins in the manufacturing industry and their role throughout the entire product lifecycle.
Industry 4.0, as an enabler of smart factories, focuses on flexible automation and customization of products by utilizing technologies such as the Internet of Things and cyber-physical systems. These technologies can also support the creation of virtual replicas which exhibit real-time characteristics of a physical system. These virtual replicas are commonly referred to as digital twins. With the increased adoption of digitized products, processes and services across manufacturing sectors, digital twins will play an important role throughout the entire product lifecycle. At the same time, collaborative robots have begun to make their way onto the shop floor to aid operators in completing tasks through human-robot collaboration. Therefore, the focus of this paper is to provide insights into approaches used to create digital twins of human-robot collaboration and the challenges in developing these digital twins. A review of different approaches for the creation of digital twins is presented, and the function and importance of digital twins in human-robot collaboration scenarios are described. Finally, the paper discusses the challenges of creating a digital twin, in particular the complexities of modelling the digital twin of human-robot collaboration and the exactness of the digital twin with respect to the physical system.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据