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Automated fabrication of reinforcement cages using a robotized production cell
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Robotdalen AB, Västerås, Sweden.
Skanska Sweden AB, Stockholm, Sweden.
Skanska Sweden AB, Stockholm, Sweden.
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2022 (English)In: Automation in Construction, ISSN 0926-5805, E-ISSN 1872-7891, Vol. 133, article id 103990Article in journal (Refereed) Published
Abstract [en]

Unlike what is common in the traditional manufacturing industry, the structures in the construction industry are often one of a kind. The goal of this work is to provide a real-world compatible fully automated gantry-robot system for flexible serial production of custom-made reinforcement cages. This can lead to increased efficiency, productivity, and sustainability, not to mention the positive impact on labour safety as well as decreased environmental impact. In this paper, we present a solution utilizing three industrial robots mounted on a gantry structure for automatic generation of robot paths for moving, placing, and tying rebars. Moreover, we present how a 3D BIM-model of a rebar cage, along with installation instructions such as the order in which the bars should be installed, are transferred into CoppeliaSim. This proof-of-concept implementation is an important milestone indicating the feasibility of our proposed robotic solution for the automated fabrication of one-of-a-kind reinforcement cages. 

Place, publisher, year, edition, pages
Elsevier B.V. , 2022. Vol. 133, article id 103990
Keywords [en]
Automatic construction, Construction robot, Digital fabrication, Path planning, Reinforcement cages, 3D modeling, Architectural design, Automation, Construction industry, Environmental impact, Fabrication, Industrial robots, Reinforcement, Robot programming, Sustainable development, Automated fabrication, Construction robots, Manufacturing industries, One of a kind, Production cells, Reinforcement cage, Robotized production, Traditional manufacturing, Motion planning
National Category
Robotics
Identifiers
URN: urn:nbn:se:mdh:diva-56662DOI: 10.1016/j.autcon.2021.103990ISI: 000787885200003Scopus ID: 2-s2.0-85119450070OAI: oai:DiVA.org:mdh-56662DiVA, id: diva2:1620660
Available from: 2021-12-16 Created: 2021-12-16 Last updated: 2022-11-25Bibliographically approved

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Momeni, MahdiRelefors, JohanPapadopoulos, AlessandroNolte, Thomas

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