Challenges and Requirements for Employee Qualification in the Context of Human-Robot-Collaboration

Daling, Lea M.; Schröder, Stefan; Haberstroh, Max; Hees, Frank

doi:10.1109/arso.2018.8625850

“…The SLR revealed that, although a noticeable number of research papers discussed Industry 4.0, there was little discussion of the skills required for each engineering profession level. Daling, Schroder, Haberstroh, and Hees [49] classified skills for managers and workers in the production environment. Mourtzis [73] categorised competencies for Industry 4.0, and ranked their importance for different roles in production enterprises.…”

Section: Discussion Of Slrmentioning

confidence: 99%

An Investigation of Industry 4.0 Skills Requirements

Maisiri

¹

,

Darwish

²

,

Dyk

³

2019

SAJIE

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The Industry 4.0 wave is built on technological advancement that is bringing about significant change. The impact of Industry 4.0 is being felt across all industries, including the education sector. During the 2019 State of the Nation address, the President of South Africa pointed out that the government was seeking to respond to the change in skills requirements. In this paper, a systematic literature review will be performed to investigate Industry 4.0 skills requirements in the engineering profession and the role of capability development in meeting Industry 4.0 requirements. An exploration of the impact of Industry 4.0 on technical institutions as opposed to academic institutions will also be discussed. This paper incorporates this exploratory investigation into detailed research on developing a skills development framework that seeks to bridge the gap between Industry 4.0 skills requirements and development in South Africa.

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“…Especially in our work where human-robot collaboration is the focus, we employ the Learning, Training, Assistance (LTA) qualification model and based on the lessons learned from [18] we propose a framework for a Language-enabled Virtual Assistant (VA) integrated with the latest iteration of our AIMM [19] and deployed in our own learning factory [20].…”

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>

show abstract

“…Especially in our work where human-robot collaboration is the focus, we employ the Learning, Training, Assistance (LTA) qualification model and based on the lessons learned from [27] we propose a framework for a Language-enabled Virtual Assistant (VA) integrated with the latest iteration of our AIMM [28] and deployed in our own learning factory [29].…”

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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Challenges and Requirements for Employee Qualification in the Context of Human-Robot-Collaboration

Cited by 12 publications

References 10 publications

An Investigation of Industry 4.0 Skills Requirements

An Investigation of Industry 4.0 Skills Requirements

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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