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Using Motion Capture and Virtual Reality to test the advantages of Human Robot Collaboration
University of Skövde, School of Engineering Science. (User Centered Product Design & Production and Automation Engineering)
2019 (English)Independent thesis Advanced level (degree of Master (One Year)), 12 credits / 18 HE creditsStudent thesis
Abstract [en]

Nowadays Virtual Reality (VR) and Human Robot Collaboration (HRC) are becoming more and more important in Industry as well as science. This investigation studies the applications of these two technologies in the ergonomic field by developing a system able to visualise and present ergonomics evaluation results in real time assembly tasks in a VR Environment, and also, evaluating the advantages of Human Robot Collaboration by studying in Virtual Reality a specific operation carried at Volvo Global Trucks Operation´s factory in Skövde.

Regarding the first part of this investigation an innovative system was developed able to show ergonomic feedbacks in real time, as well as make ergonomic evaluations of the whole workload inside of a VR environment. This system can be useful for future research in the Virtual Ergonomics field regarding matters related to ergonomic learning rate of the workers when performing assembly tasks, design of ergonomic workstations, effect of different types assembly instructions in VR and a wide variety of different applications.

The assembly operation with and without robot was created in IPS to use its VR functionality in order to test the assembly task in real users with natural movements of the body. The posture data of the users performing the tasks in Virtual Reality was collected. The users performed the task without the collaborative robot and then, with the collaborative robot. Their posture data was collected by using a Motion Capture equipment called Smart Textiles (developed at the University of Skövde) and the two different ergonomic evaluations (Using Smart Textiles’ criteria) of the two different task compared. The results show that when the robot implemented in this specific assembly task, the posture of the workers (specially the posture of the arms) has a great improvement if it is compared to the same task without the robot.

Place, publisher, year, edition, pages
2019. , p. 47
Keywords [en]
Virtual Reality, Human Robot Collaboration, Virtual Ergonomics, Industry 4.0, Motion Capture
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:his:diva-17205OAI: oai:DiVA.org:his-17205DiVA, id: diva2:1327470
Subject / course
Virtual Product Realization
Educational program
Intelligent Automation - Master's Programme, 60 ECTS
Supervisors
Examiners
Available from: 2019-06-24 Created: 2019-06-19 Last updated: 2019-06-24Bibliographically approved

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CiteExportLink to record
Permanent link

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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