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Contact-less and programming-less human-robot collaboration
University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre. (Intelligent automation)ORCID iD: 0000-0002-8906-630X
University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre. Department of Production Engineering, Royal Institute of Technology, Stockholm, Sweden. (Intelligent automation)ORCID iD: 0000-0001-8679-8049
2013 (English)In: Procedia CIRP, E-ISSN 2212-8271, Vol. 7, p. 545-550Article in journal (Refereed) Published
Abstract [en]

In today's manufacturing environment, safe human-robot collaboration is of paramount importance, to improve efficiency and flexibility. Targeting the safety issue, this paper presents an approach for human-robot collaboration in a shared workplace in close proximity, where real data driven 3D model of a robot and multiple depth images of the workplace are used for monitoring and decision-making to perform a task. The strategy for robot control depends on the current task and the information about the operator's presence and position. A case study of assembly is carried out in a robotic assembly cell with human collaboration. The results show that this approach can be applied in real-world applications such as human-robot collaborative assembly with human operators safeguarded at all time.

Place, publisher, year, edition, pages
Elsevier, 2013. Vol. 7, p. 545-550
Keywords [en]
Collision Avoidance, Human-Robot Collaboration
National Category
Production Engineering, Human Work Science and Ergonomics Robotics and automation
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-8860DOI: 10.1016/j.procir.2013.06.030ISI: 000326477900091Scopus ID: 2-s2.0-84883860879OAI: oai:DiVA.org:his-8860DiVA, id: diva2:697117
Conference
46th CIRP Conference on Manufacturing Systems (CIRP CMS), May 29-30, 2013, Setubal, Portugal
Note

CC BY-NC-ND 3.0

Edited by Pedro F. Cunha

Available from: 2014-02-17 Created: 2014-02-14 Last updated: 2025-09-29Bibliographically approved

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Schmidt, BernardWang, Lihui

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