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Automation constraints in human–industrial robot collaborative workstation design
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.ORCID iD: 0000-0002-2401-0380
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.ORCID iD: 0000-0001-7935-8811
Mälardalen University, School of Innovation, Design and Engineering, Innovation and Product Realisation.ORCID iD: 0000-0001-9057-0063
2016 (English)In: Swedish Production Symposium 2016 SPS 2016, 2016Conference paper, (Refereed)
Abstract [en]

Human–industrial robot collaboration (HIRC) aims to combine desired characteristics of humans and industrial robots – the flexibility, intelligence and tactile sense of humans, and the strength, repeatability and accuracy of robots. A newly developed demonstration software enables simulation, design, verification, optimisation and visualisation of HIRC workstations. Two parameters, operation time and biomechanical load, are measured as quantitative outputs. These parameters favour fully automatic workstations since industrial robots move faster than humans without biomechanical restrictions. However, there exist limitations in the automation possibilities in workstation design. The aim of this paper is to define automation constraints and include them in the task allocation process of HIRC workstations. This will give a more accurate process in task allocation between humans and industrial robots in a HIRC workstation design problem. Three previously performed simulations of industrial HIRC cases from a heavy vehicle manufacturer are used as a basis in order to identify automation constraints in the task allocation process. Four criteria that limit automation possibilities are identified, human cooperation, dual operation, manual quality control and inaccurate positioning of objects. These constraints are included in the work method of task allocations in HIRC workstation design.

Place, publisher, year, edition, pages
2016.
Keyword [en]
Human–robot collaboration, HRC, virtual simulation, digital human modelling, DHM, automation constraints.
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-34081OAI: oai:DiVA.org:mdh-34081DiVA: diva2:1056625
Conference
Swedish Production Symposium 2016 SPS 2016, 25 Oct 2016, Lund, Sweden
Projects
XPRESINNOFACTURE - innovative manufacturing development
Available from: 2016-12-15 Created: 2016-12-13 Last updated: 2016-12-15Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf