Layout Modelling of the Built Environment for Autonomous Mobile Robots Using Building Information Modelling (BIM) and Simulation

Gareth Byers, SeyedReza RazaviAlavi

Research output: Contribution to journalConference articlepeer-review

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Abstract

Robotics is a fast-growing technology in the construction industry, particularly in off-site construction and Modern Methods of Construction (MMC). Recent advancements in the technological sector have made robots more intelligent and capable of autonomously undertaking tasks. Navigation of the robots in the built environment requires analysis of robots’ sensor data, which is computationally sophisticated and time-consuming. Modelling the layout of the built environment using BIM and simulation can reduce the computational burden of the sensor data analysis. This research aims to develop a method to transfer the geometry data from BIM models to virtual robots in the simulation environment and provide the robots with a priori knowledge about the built environment. This method is simple-to-use and can enhance robot navigation in terms of accuracy and efficiency. The method proposed has also been implemented in a case study to demonstrate its usefulness and practicality.
Original languageEnglish
Pages (from-to)201-208
JournalModular and Offsite Construction (MOC) Summit Proceedings
DOIs
Publication statusPublished - 14 Sept 2022
Event2022 Modular and Offsite Construction Summit - University of Alberta, Edmonton, Canada
Duration: 27 Jul 202229 Jul 2022

Keywords

  • Building Information Modelling (BIM)
  • Simulation
  • Layout modelling
  • Construction Automation
  • Autonomous Mobile Robot (AMR)

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