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Variations in cycle-time when using knowledge-based tasks for humans and robots
Chalmers University of Technology, Sweden.
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (User Centred Product Design (UCPD))ORCID iD: 0000-0002-8369-5471
2021 (English)In: IFAC-PapersOnLine, E-ISSN 2405-8963, Vol. 54, no 1, p. 152-157Article in journal (Refereed) Published
Abstract [en]

Operator4.0 was coined in 2016 to create a research arena to understand how the physical, cognitive, and sensorial capabilities of an operator could be enhanced by automation. To create an interaction between operator and robots, there are important factors that needs to be defined. Two important factors are the task and function allocation. Without well-defined tasks it is hard to allocate the tasks between the robot and the human to create resource flexibility. Furthermore, it the tasks are knowledge-based rather than rule-based, the cycle time between operators can differ a lot. Two assumptions are discussed regarding knowledge-based tasks and automation. These are also tested in an experiment. Results show that it is a large variation of the cycle time for both humans (between 1,58 minutes up to 4,40 minutes) and robots (between 1,94 minutes up to 4,49 minutes) when it comes to knowledge-based and machine learning systems.

Place, publisher, year, edition, pages
Elsevier, 2021. Vol. 54, no 1, p. 152-157
Keywords [en]
Cognitive Automation, complex tasks, assembly, operator
National Category
Production Engineering, Human Work Science and Ergonomics Robotics
Research subject
User Centred Product Design
Identifiers
URN: urn:nbn:se:his:diva-19761DOI: 10.1016/j.ifacol.2021.08.017ISI: 000716937600027Scopus ID: 2-s2.0-85120677711OAI: oai:DiVA.org:his-19761DiVA, id: diva2:1562731
Conference
INCOM 2021, the 17th IFAC Symposium on Information Control Problems in Manufacturing Budapest, Hungary, June 7-9, 2021
Part of project
TACO - insTruction innovAtion for Cognitive Optimisation, Vinnova
Funder
Vinnova
Note

CC BY-NC-ND 4.0

The authors will give their deepest gratitude to VINNOVA for founding the projects FAKTA, TACO and National testbed which this study is a result in.

Available from: 2021-06-09 Created: 2021-06-09 Last updated: 2022-09-15Bibliographically approved

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Thorvald, Peter

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CiteExportLink to record
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Citation style
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