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dc.contributor.author
Bänziger, Timo
dc.contributor.author
Kunz, Andreas
dc.contributor.author
Wegener, Konrad
dc.date.accessioned
2020-08-31T06:43:10Z
dc.date.available
2018-04-09T04:07:55Z
dc.date.available
2018-04-09T11:31:47Z
dc.date.available
2018-09-27T13:08:53Z
dc.date.available
2018-11-06T16:31:57Z
dc.date.available
2019-04-29T13:35:18Z
dc.date.available
2020-08-31T06:43:10Z
dc.date.issued
2020-10
dc.identifier.issn
0956-5515
dc.identifier.issn
1572-8145
dc.identifier.other
10.1007/s10845-018-1411-1
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/256186
dc.description.abstract
Human–robot collaboration is enabled by the digitization of production and has become a key technology for the factory of the future. It combines the strengths of both the human worker and the assistant robot and allows the implementation of an varying degree of automation in workplaces in order to meet the increasing demand of flexibility of manufacturing systems. Intelligent planning and control algorithms are needed for the organization of the work in hybrid teams of humans and robots. This paper introduces an approach to use standardized work description for automated procedure generation of mobile assistant robots. A simulation tool is developed that implements the procedure model and is therefore capable of calculating different objective parameters like production time or ergonomics during a production cycle as a function of the human–robot task allocation. The simulation is validated with an existing workplace in an assembly line at the Volkswagen plant in Wolfsburg, Germany. Furthermore, a new method is presented to optimize the task allocation in human–robot teams for a given workplace, using the simulation as fitness function in a genetic algorithm. The advantage of this new approach is the possibility to evaluate different distributions of the tasks, while considering the dynamics of the interaction between the worker and the robot in their shared workplace. Using the presented approach for a given workplace, an optimized human–robot task allocation is found, in which the tasks are allocated in an intelligent and comprehensible way.
en_US
dc.language.iso
en
en_US
dc.publisher
Springer
en_US
dc.subject
Human–robot collaboration
en_US
dc.subject
Simulation
en_US
dc.subject
Task allocation
en_US
dc.subject
Optimization
en_US
dc.title
Optimizing human–robot task allocation using a simulation tool based on standardized work descriptions
en_US
dc.type
Journal Article
dc.date.published
2018-04-03
ethz.journal.title
Journal of Intelligent Manufacturing
ethz.journal.volume
31
en_US
ethz.journal.abbreviated
J. intell. manuf.
ethz.pages.start
1635
en_US
ethz.pages.end
1648
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Berlin
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02623 - Inst. f. Werkzeugmaschinen und Fertigung / Inst. Machine Tools and Manufacturing::03641 - Wegener, Konrad / Wegener, Konrad
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02623 - Inst. f. Werkzeugmaschinen und Fertigung / Inst. Machine Tools and Manufacturing::03641 - Wegener, Konrad / Wegener, Konrad::08844 - Kunz, Andreas (Tit.-Prof.) / Kunz, Andreas (Tit.-Prof.)
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02623 - Inst. f. Werkzeugmaschinen und Fertigung / Inst. Machine Tools and Manufacturing::03641 - Wegener, Konrad / Wegener, Konrad
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02130 - Dep. Maschinenbau und Verfahrenstechnik / Dep. of Mechanical and Process Eng.::02623 - Inst. f. Werkzeugmaschinen und Fertigung / Inst. Machine Tools and Manufacturing::03641 - Wegener, Konrad / Wegener, Konrad::08844 - Kunz, Andreas (Tit.-Prof.) / Kunz, Andreas (Tit.-Prof.)
ethz.date.deposited
2018-04-09T04:08:04Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2020-08-31T06:43:22Z
ethz.rosetta.lastUpdated
2021-02-15T16:45:22Z
ethz.rosetta.versionExported
true
ethz.COinS
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