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Variations in cycle-time when using knowledge-based tasks for humans and robots
Chalmers University of Technology, Sweden.
Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningsmiljön Virtuell produkt- och produktionsutveckling. (User Centred Product Design (UCPD))ORCID-id: 0000-0002-8369-5471
2021 (engelsk)Inngår i: IFAC-PapersOnLine, ISSN 2405-8971, E-ISSN 2405-8963, Vol. 54, nr 1, s. 152-157Artikkel i tidsskrift (Fagfellevurdert) 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.

sted, utgiver, år, opplag, sider
Elsevier, 2021. Vol. 54, nr 1, s. 152-157
Emneord [en]
Cognitive Automation, complex tasks, assembly, operator
HSV kategori
Forskningsprogram
Användarcentrerad produktdesign
Identifikatorer
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
Konferanse
INCOM 2021, the 17th IFAC Symposium on Information Control Problems in Manufacturing Budapest, Hungary, June 7-9, 2021
Ingår i projekt
TACO - insTruction innovAtion for Cognitive Optimisation, Vinnova
Forskningsfinansiär
Vinnova
Merknad

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.

Tilgjengelig fra: 2021-06-09 Laget: 2021-06-09 Sist oppdatert: 2025-09-29bibliografisk kontrollert

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