Automated material selection based on detected construction progress

Automated material selection based on detected construction progress Tyler Stephans, Austin McClymonds, Robert Leicht and Alan Wagner Pages 406-413 (2022 Proceedings of the 39th ISARC, Bogotá, Colombia, ISBN 978-952-69524-2-0, ISSN 2413-5844) Abstract: One of the many ways in which automation may help the construction industry is on-site material management. This paper presents an automated process where materials are selected for staging by detecting construction progress from site images. The materials are then delivered to their re-spective workface locations by a robot. The effectiveness of the material selection process is assessed using a simulated and physical construction site. We demonstrate that our process is successful under a number of different conditions and environments. Our system contributes to the feasibility of autonomously managing materials on a construction site and reveals potential avenues for future research. Keywords: Automated material delivery; Progress detection; BIM; Robot DOI: https://doi.org/10.22260/ISARC2022/0056 Download fulltext Download BibTex Download Endnote (RIS) TeX Import to Mendeley

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