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Using robotic exoskeletons to reduce muscle activity of workers
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electrical Engineering, Mathematics and Science, Electronics.ORCID iD: 0000-0002-1813-9030
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electrical Engineering, Mathematics and Science, Electronics.ORCID iD: 0009-0001-9203-6160
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electrical Engineering, Mathematics and Science, Electronics.ORCID iD: 0000-0001-5429-7223
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electrical Engineering, Mathematics and Science, Electronics.ORCID iD: 0000-0001-8826-6046
2023 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents an experimental study demonstrating the advantages of different exoskeletons while performing workers' tasks. The study illustrates that how the use of certain upper and lower body exoskeletons can reduce the muscle effort around the shoulder, hip, and knee joints. Therefore, overhead, shoulder level, virtual chair position, and deep squatting position drilling tasks were performed, and muscle activity was recorded using EMG sensors. The muscle activity of the participants was compared with and without wearing exoskeletons while performing the same tasks. It was found that up to 60% reduction in the human effort can be achieved while performing the same tasks using exoskeletons. Many of the large-scale automobile manufacturers have already adopted exoskeletons in their assembly lines, however, the use of exoskeletons in small and medium enterprises (SMEs) is still not recognized. Therefore, this study aims to create awareness and accelerate adoption of exoskeletons among SMEs and construction workers.

Place, publisher, year, edition, pages
ACM , 2023.
Series
ACM International Conference Proceeding Series
Keywords [en]
assistance for workers; EMG sensor; evaluation of exoskeletons; muscle activity; musculoskeletal disorders
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:hig:diva-43496DOI: 10.1145/3610419.3610473Scopus ID: 2-s2.0-85179891374ISBN: 9781450399807 (print)OAI: oai:DiVA.org:hig-43496DiVA, id: diva2:1822581
Conference
International Conference on Advances in Robotics, AIR 2023, Ropar, 5-8 July 2023
Available from: 2023-12-25 Created: 2023-12-25 Last updated: 2023-12-25Bibliographically approved

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Rafique, SajidRana, Shaikh MasudBjörsell, NiclasIsaksson, Magnus

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CiteExportLink to record
Permanent link

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