A consistency method for digital twin model of human-robot collaboration

Ma, Xin; Qi, Qinglin; Cheng, Jiangfeng; Tao, Fei

doi:10.1016/j.jmsy.2022.10.012

Cited by 29 publications

(11 citation statements)

References 38 publications

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“…Additionally, maintaining system consistency can be difficult in sustainable smart manufacturing. In response to these challenges, the authors of [ 47 ] propose a four-tuple DT model for HRC systems, which includes a human model, robot model, collaborative environment model, and collaboration relation model. The objective of this model is to overcome the obstacles encountered when constructing a proficient HRC system in smart manufacturing.…”

Section: Smart Manufacturingmentioning

confidence: 99%

Human–Robot Collaborations in Smart Manufacturing Environments: Review and Outlook

Othman

Yang

2023

Sensors

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The successful implementation of Human–Robot Collaboration (HRC) has become a prominent feature of smart manufacturing environments. Key industrial requirements, such as flexibility, efficiency, collaboration, consistency, and sustainability, present pressing HRC needs in the manufacturing sector. This paper provides a systemic review and an in-depth discussion of the key technologies currently being employed in smart manufacturing with HRC systems. The work presented here focuses on the design of HRC systems, with particular attention given to the various levels of Human–Robot Interaction (HRI) observed in the industry. The paper also examines the key technologies being implemented in smart manufacturing, including Artificial Intelligence (AI), Collaborative Robots (Cobots), Augmented Reality (AR), and Digital Twin (DT), and discusses their applications in HRC systems. The benefits and practical instances of deploying these technologies are showcased, emphasizing the substantial prospects for growth and improvement in sectors such as automotive and food. However, the paper also addresses the limitations of HRC utilization and implementation and provides some insights into how the design of these systems should be approached in future work and research. Overall, this paper provides new insights into the current state of HRC in smart manufacturing and serves as a useful resource for those interested in the ongoing development of HRC systems in the industry.

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Section: Smart Manufacturingmentioning

confidence: 99%

Human–Robot Collaborations in Smart Manufacturing Environments: Review and Outlook

Othman

Yang

2023

Sensors

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“…Virtual reality can also serve as the interface for remote human-computer interaction. For example, Adami et al [96] utilized virtual reality to train workers on remote robot control and operation. An ideal scenario for HRC is redesigning the construction process to reduce duplicated and repetitive work by employing robots.…”

Section: Applications Of Hrc In Constructionmentioning

confidence: 99%

Intelligent robots and human–robot collaboration in the construction industry: A review

Wei¹,

Zhang²,

Sun³

et al. 2023

Journal of Intelligent Construction

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Keywords human-robot collaboration (HRC) robotics innovation adaption taxonomyThe construction industry is a typical labor-intensive industry, which suffers from low productivity and labor shortage in the past decades. Recently, the developments in robotics and artificial intelligence technologies highlight the evolutionary reforming potential in the construction industry. An increasing number of robots are joining construction tasks and collaborating with human workers. This study reviews the major developments in intelligent robots and human-robot collaboration (HRC) in the construction industry. The technological foundations and fundamental concepts of construction robots and collaborative robots are reviewed, organized, and discussed to reveal that progress has been made. Based on a comprehensive review, the major challenges and future research directions of HRC have been proposed and examined. This study finally developed a comprehensive and in-depth discussion of the state-ofthe-art implementation of robotics technologies in the construction industry and shed light on its path to future development.

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“…aerospace [6][7][8], precision instruments [9], etc. It is also widely used for manufacturing workshops, such as intelligent machine tools [10][11][12], intelligent workshops [13][14][15], equipment health management [16][17][18], and human-computer interaction [19,20].…”

Section: Introductionmentioning

confidence: 99%

Fusion method for digital twin model of a production line

Liu,

Wang,

Huang

et al. 2024

Preprint

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Digital twins have attracted more and more attention in the past few years. To put digital twins into practice, a large number of modeling approaches have been proposed, vast amounts of data have been collected, and their accuracy has been improving. However, current research has paid insufficient attention to the multi-scale features of the shop floor, which hinders the effective application of the digital twin shop floor. To address the problem of how to achieve effective multi-level and multi-dimensional fusion of digital twin models with production process data, this paper first proposes a structured data modeling framework for sorting out all the production process data collected in real-time; and then proposes a multi-level fusion framework for supporting the fusion of real-time data and twin models from the unit level to the system level. The method judges the parsed received data streams through the full-factor semanticization framework, and at the same time fuses the parsed data streams with the constructed full-factor twin model from multiple dimensions and layers, forming a twin model fusion method with real-time data streams as the blood and twin model as the skeleton. Finally, the micro-assembly-based production shop environment is selected as a case study to verify the correctness and feasibility of the proposed data grooming framework, data, and model fusion method.

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A consistency method for digital twin model of human-robot collaboration

Cited by 29 publications

References 38 publications

Human–Robot Collaborations in Smart Manufacturing Environments: Review and Outlook

Human–Robot Collaborations in Smart Manufacturing Environments: Review and Outlook

Intelligent robots and human–robot collaboration in the construction industry: A review

Fusion method for digital twin model of a production line

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