Shaping the role of the digital twins for human-robot dyad: Connotations, scenarios, and future perspectives

IF 2.5 Q2 ENGINEERING, INDUSTRIAL
Mohaiad Elbasheer, Francesco Longo, Giovanni Mirabelli, Letizia Nicoletti, Antonio Padovano, Vittorio Solina
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引用次数: 4

Abstract

The field of Human-Robot Interaction (HRI) represents one of the fast-growing focus areas of Digital Twins (DTs). However, the role of DTs applications in human-robot collaborative systems is still uncertain. This review article provides a comprehensive perspective of DTs' critical design aspects (i.e. Objectives, associate technologies, and application scenarios) in the broad application areas of human-robot systems. This article uses a multi-faceted approach to comprehend 43 DTs' state-of-the-art applications in HRI. The study investigates the literature body across two dimensions (i.e. DT roles and HRI application characteristics). The conclusion of this work draws the attention of the relevant scientific community towards potential DTs' application scenarios and provides insights into DT's future research directions.

Abstract Image

塑造数字双胞胎在人类-机器人二元组合中的作用:内涵、场景和未来前景
人机交互(HRI)领域是数字孪生(DTs)快速发展的重点领域之一。然而,DTs应用在人机协作系统中的作用仍然不确定。这篇综述文章提供了一个全面的视角,在人机系统的广泛应用领域的关键设计方面(即目标,相关技术和应用场景)。本文采用多方面的方法来理解43个DTs在HRI中的最新应用。本研究从两个维度(即DT角色和HRI应用特征)对文献体进行了调查。本工作的结论引起了相关科学界对DT潜在应用场景的关注,并为DT未来的研究方向提供了见解。
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来源期刊
IET Collaborative Intelligent Manufacturing
IET Collaborative Intelligent Manufacturing Engineering-Industrial and Manufacturing Engineering
CiteScore
9.10
自引率
2.40%
发文量
25
审稿时长
20 weeks
期刊介绍: IET Collaborative Intelligent Manufacturing is a Gold Open Access journal that focuses on the development of efficient and adaptive production and distribution systems. It aims to meet the ever-changing market demands by publishing original research on methodologies and techniques for the application of intelligence, data science, and emerging information and communication technologies in various aspects of manufacturing, such as design, modeling, simulation, planning, and optimization of products, processes, production, and assembly. The journal is indexed in COMPENDEX (Elsevier), Directory of Open Access Journals (DOAJ), Emerging Sources Citation Index (Clarivate Analytics), INSPEC (IET), SCOPUS (Elsevier) and Web of Science (Clarivate Analytics).
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