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Depth camera based collision avoidance via active robot control
KTH, School of Industrial Engineering and Management (ITM), Production Engineering. University of Skövde, Sweden.ORCID iD: 0000-0001-8679-8049
2014 (English)In: Journal of manufacturing systems, ISSN 0278-6125, E-ISSN 1878-6642, Vol. 33, no 4, 711-718 p.Article in journal (Refereed) Published
Abstract [en]

A new type of depth cameras can improve the effectiveness,of safety monitoring in human-robot collaborative environment. Especially on today's manufacturing shop floors, safe human-robot collaboration is of paramount importance for enhanced work efficiency, flexibility, and overall productivity. Within this context, this paper presents a depth camera based approach for cost-effective real-time safety monitoring of a human-robot collaborative assembly cell. The approach is further demonstrated in adaptive robot control. Stationary and known objects are first removed from the scene for efficient detection of obstacles in a monitored area. The collision detection is processed between a virtual model driven by real sensors, and 3D point cloud data of obstacles to allow different safety scenarios. The results show that this approach can be applied to real-time work cell monitoring.

Place, publisher, year, edition, pages
2014. Vol. 33, no 4, 711-718 p.
Keyword [en]
Depth camera, Monitoring, Collision avoidance, Human-robot collaboration
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:kth:diva-160771DOI: 10.1016/j.jmsy.2014.04.004ISI: 000348883200024Scopus ID: 2-s2.0-84919463262OAI: oai:DiVA.org:kth-160771DiVA: diva2:792130
Note

QC 20150303

Available from: 2015-03-03 Created: 2015-02-27 Last updated: 2017-12-04Bibliographically approved

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Wang, Lihui

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  • apa
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Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf