Qualifying the performance of human-robot coproduction at a relabeling station

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Abstract

Recently, the field of Human-Robot Coproduction (HRC) has received much attention and is promising to play a crucial role in factory automation in the
future. However, little is known on how to design production systems by making optimal use of such collaboration strategies. We believe it is necessary to
start the design process with a suitable means of analysis, which is currently missing in this context. In this article, we propose a framework in which an
existing human-machine workstation is analyzed for the purpose of improving it with HRC-based technology. The analysis is performed by observing
the four actors that are present at the workstation, and expressing their interactions using qualifiers. This framework was applied to an existing situation;
based on an observational method to identify matter and information flows during the production task. When compared to traditional production system
design approaches, the aforementioned framework helped to identify discrepancies between actors and to highlight areas where HRC-based technology
could be implemented. Future research is necessary to extend this framework to methods and tools, to be validated in HRC applications.