kth.sePublications KTH
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
Leveraging multimodal data for intuitive robot control towards human-robot collaborative assembly
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Sustainable Production Systems.ORCID iD: 0000-0002-1909-0507
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Sustainable Production Systems.ORCID iD: 0000-0001-8679-8049
KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Sustainable Production Systems.ORCID iD: 0000-0001-9694-0483
Show others and affiliations
2021 (English)In: Procedia CIRP of the 54th Conference on Manufacturing Systems, 2021, Vol. 104, p. 206-211Conference paper, Published paper (Refereed)
Abstract [en]

In human-robot collaborative assembly, robots are often required to assist human operators to execute the assembly of complex tasks. However, the robots cannot be intuitively controlled to execute accurate task assembly and motion control in close proximity. In response to this need, a novel approach using multimodal data is developed for human-centred robot control in human-robot collaborative assembly. An interface design is developed to fuse multimodal communication channels for robust and adaptive robot control, and then multimodal data are defined as control input for assembly task execution. This control scheme offers human operators symbiotic multimodal tools for proactive HRC with enhanced flexibility and adaptability.  

Place, publisher, year, edition, pages
2021. Vol. 104, p. 206-211
Keywords [en]
Robot, assembly, multimodal data, human-robot collaboration, motion control
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-305594DOI: 10.1016/j.procir.2021.11.035ISI: 001483972200035Scopus ID: 2-s2.0-85121636388OAI: oai:DiVA.org:kth-305594DiVA, id: diva2:1616726
Conference
the 54th Conference on Manufacturing Systems
Note

QC 20211221

Available from: 2021-12-03 Created: 2021-12-03 Last updated: 2025-12-08Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Liu, SichaoWang, LihuiWang, Xi Vincent

Search in DiVA

By author/editor
Liu, SichaoWang, LihuiWang, Xi Vincent
By organisation
Sustainable Production Systems
Mechanical Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 117 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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