5G and AI Technology Application in the AMTC Learning Factory

Zhang, Wei Min; Cai, Weinan; Min, Junying; Fleischer, Jürgen; Ehrmann, Christopher; Prinz, Christopher; Kreimeier, Dieter

doi:10.1016/j.promfg.2020.04.066

“…The new 5G communication standard brings up new opportunities. The smart plant needs new concepts and technologies from manufacturing to intralogistics and transportation (Parada et al , 2018; Siriwardhana et al , 2019; Zhang et al , 2020).…”

Section: Associated Features and Specialties Of 5g For Industry 40mentioning

confidence: 99%

Progressive schema of 5G for Industry 4.0: features, enablers, and services

Javaid

¹

,

Haleem

²

,

Rab

³

et al. 2022

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Purpose The development of new communication technology such as 5G is now a solid choice for Industry 4.0. 5G in the fifth generation replaces the presently used mobile telecommunications networks. In every sector of modern life, this technology is designed to resolve the issue of the enormous rise in daily gadgets. 5G allows rapid data transfer and significantly improves the Internet of Things (IoT), which contains billions of devices. The purpose of this paper is to study the potential applications of 5G for Industry 4.0. Design/methodology/approach Relevant research publications from Scopus, Web of Science and Google Scholar were identified to accomplish the objectives of this paper. 5G for Industry 4.0 enables crucial communications such as wireless management of machines and robotics to unleash Industry 4.0’s full potential, including the considerable proliferation of IoT devices in 5G. This technology enhances quality control, increasing inspections that rely on real-time analysis for rapid and early detection. Findings In Industry 4.0, 5G technology provides high speed and flexibility connectivity which helps to enhance the entire manufacturing system. This paper briefs about 5G and different network technologies used in 5G. Advancements, associated features and specialties, and significant enablers of 5G for Industry 4.0 are discussed. Finally, the paper identifies and discusses eighteen 5G applications for Industry 4.0. 5 G-enabled robots are used in manufacturing to carry out extensive work to enhance connectivity. Originality/value 5G is the next-generation communication technology, allowing numerous examples of inventive usage, including Industry 4.0. In line with its long-term vision of digitisation, 5G benefit the whole value chain, including consumers and businesses.

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“…In the context of industrial automation and manufacturing processes, the learning principles of work-based learning have been incorporated effectively into the concept of learning factories [10], [11]. They constitute a paradigm of close collaboration between industry parties and universities to offer a flexible industrial environment where the involved stakeholders can introduce and test artificial intelligence (AI) techniques [12], swarm production concepts [13] and virtual recommissioning methods [14].…”

Section: Related Workmentioning

confidence: 99%

Hey Max, can you help me? An Intuitive Virtual Assistant for Industrial Robots

Li¹,

Chrysostomou²,

Pinto³

et al. 2022

Preprint

2

0

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<p>Assisting employees in acquiring the knowledge and skills necessary to grasp and use new services and technologies on the shop floor is critical for manufacturers to adapt to Industry 4.0 successfully. In this paper, we employ a Learning, Training, Assistance (LTA) approach and propose a framework for a Language-enabled Virtual Assistant (VA) to facilitate this adaptation. In our system, the human-robot interaction is achieved through spoken natural language and a dashboard implemented as a web-based application. This type of interaction enables operators of all levels to control a collaborative robot intuitively in several industrial scenarios and use it as a complementary tool for developing their competencies. Our proposed framework has been extensively tested with 29 users who completed various tasks while interacting with the proposed VA and industrial robots. Through three different scenarios, we evaluated the usability of the system for LTA based on an established System Usability Scale and the cognitive effort required by the users based on the standardised NASA TLX questionnaire. The qualitative and quantitative results of the study show that users of all levels found the VA user friendly with low requirements for physical and mental effort during the interaction. Additionally, the study demonstrates that the VA enables operators to streamline the learning and training phases of new tasks and improve their user experience during the assistance phase for daily tasks. The source code of the proposed VA and the supplementary material of the user study are accessible at https://bit.ly/VA MAX to support the reproducibility of the proposed framework.</p>

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“…In the context of industrial automation and manufacturing processes, the learning principles of work-based learning have been incorporated effectively into the concept of learning factories [16], [17]. They constitute a paradigm of close collaboration between industry parties and universities to offer a flexible industrial environment where the involved stakeholders can introduce and test artificial intelligence (AI) techniques [18], 5G swarm production concepts [19], [20], virtual recommissioning methods [21] and work towards creating a Smart Factory [22].…”

Section: Related Workmentioning

confidence: 99%

Hey Max, can you help me? An Intuitive Virtual Assistant for Industrial Robots

Li¹,

Chrysostomou²,

Pinto³

et al. 2022

Preprint

1

0

View full text Add to dashboard Cite

<p>Assisting employees in acquiring the knowledge and skills necessary to grasp and use new services and technologies on the shop floor is critical for manufacturers to adapt to Industry 4.0 successfully. In this paper, we employ a Learning, Training, Assistance (LTA) approach and propose a framework for a Language-enabled Virtual Assistant (VA) to facilitate this adaptation. In our system, the human-robot interaction is achieved through spoken natural language and a dashboard implemented as a web-based application. This type of interaction enables operators of all levels to control a collaborative robot intuitively in several industrial scenarios and use it as a complementary tool for developing their competencies. Our proposed framework has been extensively tested with 29 users who completed various tasks while interacting with the proposed VA and industrial robots. Through three different scenarios, we evaluated the usability of the system for LTA based on an established System Usability Scale and the cognitive effort required by the users based on the standardised NASA TLX questionnaire. The qualitative and quantitative results of the study show that users of all levels found the VA user friendly with low requirements for physical and mental effort during the interaction. Additionally, the study demonstrates that the VA enables operators to streamline the learning and training phases of new tasks and improve their user experience during the assistance phase for daily tasks. The source code of the proposed VA and the supplementary material of the user study are accessible at https://bit.ly/VA MAX to support the reproducibility of the proposed framework.</p>

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5G and AI Technology Application in the AMTC Learning Factory

Cited by 22 publications

References 19 publications

Progressive schema of 5G for Industry 4.0: features, enablers, and services

Progressive schema of 5G for Industry 4.0: features, enablers, and services

Hey Max, can you help me? An Intuitive Virtual Assistant for Industrial Robots

Hey Max, can you help me? An Intuitive Virtual Assistant for Industrial Robots

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