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

• Type: Article in International Scientific Journal
• Date: 2019

Authors

Tavares, P (Author) Other; Costa, CM (Author) Other; Rocha, LF (Author) FEUP; Malaca, P (Author) Other; Pedro Luís Cerqueira Gomes da Costa (Author) FEUP; António Paulo Moreira (Author) FEUP; Armando Jorge Sousa (Author) FEUP; Germano Veiga (Author) FEUP

Journal

Title: Automation in Construction

Vol. 106

ISSN: 0926-5805

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 75 Citations

Scopus - 59 Citations

Other information

Authenticus ID: P-00Q-HXQ

DOI: 10.1016/j.autcon.2019.04.020

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 12