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Vision-guided active collision avoidance for human-robot collaborations
University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre. Department of Production Engineering, KTH Royal Institute of Technology, 100 44 Stockholm, Sweden.
University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.ORCID iD: 0000-0002-8906-630X
Department of Mechanical Engineering, National University of Singapore.
2013 (English)In: Manufacturing Letters, ISSN 2213-8463, Vol. 1, no 1, 5-8 p.Article in journal (Refereed) Published
Abstract [en]

This paper reports a novel methodology of real-time active collision avoidance in an augmented environment, where virtual 3D models of robots and real camera images of operators are used for monitoring and collision detection. A prototype system is developed and linked to robot controllers for adaptive robot control, with zero robot programming for end users. According to the result of collision detection, the system can alert an operator, stop a robot, or modify the robot's trajectory away from an approaching operator. Through a case study, it shows that this method can be applied to real-world applications such as human-robot collaborative assembly to safeguard human operators.

Place, publisher, year, edition, pages
2013. Vol. 1, no 1, 5-8 p.
Keyword [en]
Human-robot collaboration, Monitoring, Robot
National Category
Engineering and Technology
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-9093DOI: 10.1016/j.mfglet.2013.08.001ScopusID: 2-s2.0-84892776649OAI: oai:DiVA.org:his-9093DiVA: diva2:718344
Available from: 2014-05-20 Created: 2014-05-20 Last updated: 2014-05-21Bibliographically approved

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Citation style
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