Collaborative Welding System using BIM for Robotic Reprogramming and Spatial Augmented Reality

dc.contributor.author Carlos Miguel Costa en
dc.contributor.author Luís Freitas Rocha en
dc.contributor.author Malaca,P en
dc.contributor.author Pedro Gomes Costa en
dc.contributor.author António Paulo Moreira en
dc.contributor.author Tavares,P en
dc.contributor.author Armando Sousa en
dc.contributor.author Germano Veiga en
dc.contributor.other 6164 en
dc.contributor.other 5152 en
dc.contributor.other 5157 en
dc.contributor.other 5159 en
dc.contributor.other 5364 en
dc.contributor.other 5674 en
dc.date.accessioned 2020-02-14T14:08:44Z
dc.date.available 2020-02-14T14:08:44Z
dc.date.issued 2019 en
dc.description.abstract The optimization of the information flow from the initial design and through the several production stages plays a critical role in ensuring product quality while also reducing the manufacturing costs. As such, in this article we present a cooperative welding cell for structural steel fabrication that is capable of leveraging the Building Information Modeling (BIM) standards to automatically orchestrate the necessary tasks to be allocated to a human operator and a welding robot moving on a linear track. We propose a spatial augmented reality system that projects alignment information into the environment for helping the operator tack weld the beam attachments that will be later on seam welded by the industrial robot. This way we ensure maximum flexibility during the beam assembly stage while also improving the overall productivity and product quality since the operator no longer needs to rely on error prone measurement procedures and he receives his tasks through an immersive interface, relieving him from the burden of analyzing complex manufacturing design specifications. Moreover, no expert robotics knowledge is required to operate our welding cell because all the necessary information is extracted from the Industry Foundation Classes (IFC), namely the CAD models and welding sections, allowing our 3D beam perception systems to correct placement errors or beam bending, which coupled with our motion planning and welding pose optimization system ensures that the robot performs its tasks without collisions and as efficiently as possible while maximizing the welding quality. © 2019 Elsevier B.V. en
dc.identifier.uri http://repositorio.inesctec.pt/handle/123456789/10832
dc.identifier.uri http://dx.doi.org/10.1016/j.autcon.2019.04.020 en
dc.language eng en
dc.rights info:eu-repo/semantics/openAccess en
dc.title Collaborative Welding System using BIM for Robotic Reprogramming and Spatial Augmented Reality en
dc.type Publication en
dc.type article en
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