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2023 | OriginalPaper | Buchkapitel

Digital Twins of Robotic Systems: Increasing Capability for Industrial Applications

verfasst von : Tran Tuan Anh, Nguyen Thanh Tan, Dinh Than Le, Le Chi Hieu, Jamaluddin Mahmud, M. J. A. Latif, Nguyen Ho Quang

Erschienen in: Machine Learning and Mechanics Based Soft Computing Applications

Verlag: Springer Nature Singapore

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Abstract

Digital twin is one of the emerging areas of research and technology development and the enabling technologies of Smart Manufacturing and Industry 4.0. This study aims to develop and demonstrate a proof-of-concept prototype with a case study of the digital twin of a robotic system. The system has two main elements: the virtual element and the physical or the real element. The virtual element of system has been built based on the Unity platform, which is a cross-platform game engine developed by Unity Software Inc., and the physical element was built with the use of two servomotors and the NVIDIA® Jetson Nano™ Developer Kit. The virtual and the physical elements are connected and communicated via using the TCP socket protocol suite. A digital twin model of the ABB IRB 120 robot was successfully developed and demonstrated. The collected data include the joint angle position values of the physical and virtual models, and they are stored both locally and in the cloud for the future system development, which can be used as for minimizing the errors between the physical and virtual models of digital twins of robotic systems. The successfully developed digital twin model can be considered as the cost-effective solutions for demonstrating and evaluating potential applications of digital twins in industrial practices as well as in higher educations and research.

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Metadaten
Titel
Digital Twins of Robotic Systems: Increasing Capability for Industrial Applications
verfasst von
Tran Tuan Anh
Nguyen Thanh Tan
Dinh Than Le
Le Chi Hieu
Jamaluddin Mahmud
M. J. A. Latif
Nguyen Ho Quang
Copyright-Jahr
2023
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-19-6450-3_23

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