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
A Context-Aware Safety System for Human-Robot Collaboration
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.ORCID iD: 0000-0002-4032-4830
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.ORCID iD: 0000-0002-9642-6983
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.ORCID iD: 0000-0001-8679-8049
2018 (English)In: Procedia Manufacturing, Elsevier B.V. , 2018, p. 238-245Conference paper, Published paper (Refereed)
Abstract [en]

Recent advancements in human-robot collaboration have enabled humans and robots to work together in shared manufacturing environment. However, there still exist needs for a context-aware safety system that not only assures human safety but also provides system efficiency. In this paper, the authors present a context-aware safety system that provides safety and efficiency at the same time. The system can plan robotic paths that avoid colliding with humans while still reach target positions in time. Human poses can also be recognised by the system to further increase system efficiency. Different modules, algorithms, and interfaces are introduced in the paper to support the context-aware safety system for human-robot collaboration. A test case is demonstrated to validate the performance of the system. Finally, a summary and future research directions are given.

Place, publisher, year, edition, pages
Elsevier B.V. , 2018. p. 238-245
Keywords [en]
context awareness, deep learning, Human-robot collaboration, safety system
National Category
Robotics
Identifiers
URN: urn:nbn:se:kth:diva-247427DOI: 10.1016/j.promfg.2018.10.042Scopus ID: 2-s2.0-85060432816OAI: oai:DiVA.org:kth-247427DiVA, id: diva2:1313294
Conference
28th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2018, 11 June 2018 through 14 June 2018
Note

QC20190502

Available from: 2019-05-03 Created: 2019-05-03 Last updated: 2019-05-03Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopushttps://www.faim2018.org/

Authority records BETA

Liu, HongyiWang, YuquanJi, WeiWang, Lihui

Search in DiVA

By author/editor
Liu, HongyiWang, YuquanJi, WeiWang, Lihui
By organisation
Production Engineering
Robotics

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 7 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