Automated material selection based on detected construction progress

T. Stephans, A. McClymonds, R. Leicht, Alan Richard Wagner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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 respective 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.

Original languageEnglish (US)
Title of host publicationProceedings of the 39th International Symposium on Automation and Robotics in Construction, ISARC 2022
PublisherInternational Association for Automation and Robotics in Construction (IAARC)
Pages406-413
Number of pages8
ISBN (Electronic)9789526952420
StatePublished - 2022
Event39th International Symposium on Automation and Robotics in Construction, ISARC 2022 - Bogota, Colombia
Duration: Jul 13 2022Jul 15 2022

Publication series

NameProceedings of the International Symposium on Automation and Robotics in Construction
Volume2022-July
ISSN (Electronic)2413-5844

Conference

Conference39th International Symposium on Automation and Robotics in Construction, ISARC 2022
Country/TerritoryColombia
CityBogota
Period7/13/227/15/22

All Science Journal Classification (ASJC) codes

  • Building and Construction
  • Civil and Structural Engineering
  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality
  • Artificial Intelligence
  • Computer Science Applications

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