CONCEPT OF A SELF-LEARNING WORKPLACE CELL FOR WORKER ASSISTANCE WHILE COLLABORATION WITH A ROBOT WITHIN THE SELF-ADAPTING-PRODUCTION-PLANNING-SYSTEM
Johanna Ender
j.ender@stud.hs-wismar.de1Liverpool John Moores University, Faculty of Engineering and Technology, 2Hochschule Wismar, University of Applied Sciences: Technology, Business and Design, Faculty of Engineering (Germany)
http://orcid.org/0000-0002-6827-3270
Jan Cetric Wagner
Hochschule Wismar, University of Applied Sciences: Technology, Business and Design, Faculty of Engineering (Germany)
http://orcid.org/0000-0002-9236-2935
Georg Kunert
Hochschule Wismar, University of Applied Sciences: Technology, Business and Design, Faculty of Engineering (Germany)
http://orcid.org/0000-0002-7469-8435
Fang Bin Guo
Liverpool John Moores University, Faculty of Engineering and Technology (United Kingdom)
http://orcid.org/0000-0002-7442-7344
Roland Larek
Hochschule Wismar, University of Applied Sciences: Technology, Business and Design, Faculty of Engineering (Germany)
http://orcid.org/0000-0003-2823-6237
Thorsten Pawletta
Hochschule Wismar, University of Applied Sciences: Technology, Business and Design, Faculty of Engineering (Germany)
http://orcid.org/0000-0003-1740-6560
Abstract
For some time, the focus of past research on industrial workplace designs has been the optimization of processes from the technological point of view. Since human workers have to work within this environment the design process must regard Human Factor needs. The operators are under additional stress due to the range of high dynamic processes and due to the integration of robots and autonomous operating machines. There have been few studies on how Human Factors influence the design of workplaces for Human-Robot Collaboration (HRC). Furthermore, a comprehensive, systematic and human-centred design solution for industrial workplaces particularly considering Human Factor needs within HRC is widely uncertain and a specific application with reference to production workplaces is missing.
The research findings described in this paper aim the optimization of workplaces for manual production and maintenance processes with respect to the workers within HRC. In order to increase the acceptance of integration of human-robot teams, the concept of the Assisting-Industrial-Workplace-System (AIWS) was developed. As a flexible hybrid cell for HRC integrated into a Self-Adapting-Production-Planning-System (SAPPS) assists the worker while interaction.
Keywords:
human-robot collaboration, human factors, post-optimised reinforcement learning algorithm, self-adapting-production-planning-systemReferences
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Authors
Johanna Enderj.ender@stud.hs-wismar.de
1Liverpool John Moores University, Faculty of Engineering and Technology, 2Hochschule Wismar, University of Applied Sciences: Technology, Business and Design, Faculty of Engineering Germany
http://orcid.org/0000-0002-6827-3270
Authors
Jan Cetric WagnerHochschule Wismar, University of Applied Sciences: Technology, Business and Design, Faculty of Engineering Germany
http://orcid.org/0000-0002-9236-2935
Authors
Georg KunertHochschule Wismar, University of Applied Sciences: Technology, Business and Design, Faculty of Engineering Germany
http://orcid.org/0000-0002-7469-8435
Authors
Fang Bin GuoLiverpool John Moores University, Faculty of Engineering and Technology United Kingdom
http://orcid.org/0000-0002-7442-7344
Authors
Roland LarekHochschule Wismar, University of Applied Sciences: Technology, Business and Design, Faculty of Engineering Germany
http://orcid.org/0000-0003-2823-6237
Authors
Thorsten PawlettaHochschule Wismar, University of Applied Sciences: Technology, Business and Design, Faculty of Engineering Germany
http://orcid.org/0000-0003-1740-6560
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