Learning to Share - Teaching the Impact of Flexible Task Allocation in Human-cobot Teams

6 Pages Posted: 22 Jun 2021

Date Written: May 06, 2021


Collaborative robots (cobots) are vital for agile concepts of industrial manufacturing and regarded as flexible and low-cost automation solutions. Therefore, learning factory concepts increasingly include handling with cobot technology, their industrial applications and safety concepts. In addition to these fields of knowledge, it is widely considered that work organization at the manufacturing shop floor must be rethought to use the full potential of cobot flexibility. One of the approaches is the flexible task allocation in human-cobot teams. Based on the idea of self-organization, human and cobot tasks are adaptively assessed and optimized. The implementation of this concept enables productivity gains and at the same time reduces negative aspects of automation such as reduced readiness to take action and monotonous work. As this approach requires technological and organizational preconditions as well as prior knowledge of the industrial engineering domain, the paper presents a hands-on educational concept for flexible task allocation in human-cobot teams. Upon an analysis of required competencies and an identification of deficits in existing teaching approaches - based on evaluation criteria such as innovation content, human-cobot team suitability, industrial relevance and reusability - a teaching concept in addition to three hands-on demonstrators was developed. The demonstrators were implemented at the TU Wien Pilot Factory Industry 4.0 allowing for representative task allocation patterns applied in industrial settings. Besides professional educational purposes, the demonstrators can be used for exhibitions as they allow hands-on experiences for the public and therefore contribute to a more realistic perception of the potential, the challenges, and the impact of robots in the manufacturing domain. Thus, working with and evaluating the demonstrators hands-on, not only students and professionals, but also children, teenagers and the general public are able to explore the potential benefits, consequences and necessary preconditions within potential use cases.

Keywords: Teaching concept, collaborative robot, flexible task sharing, hybrid manufacturing, task allocation

JEL Classification: L60

Suggested Citation

Komenda, Titanilla and Schmidbauer, Christina and Kames, David and Schlund, Sebastian, Learning to Share - Teaching the Impact of Flexible Task Allocation in Human-cobot Teams (May 06, 2021). Proceedings of the Conference on Learning Factories (CLF) 2021, Available at SSRN: https://ssrn.com/abstract=3869551 or http://dx.doi.org/10.2139/ssrn.3869551

Titanilla Komenda (Contact Author)

Fraunhofer Austria Research GmbH

Theresianumgasse 7
Vienna, 1040

David Kames

TU Wien

Sebastian Schlund

TU Wien ( email )

Theresianumgasse 27
Vienna, 1040

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