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Towards an Ontology for BIM-Based Robotic Navigation and Inspection Tasks

Title:

Towards an Ontology for BIM-Based Robotic Navigation and Inspection Tasks

Bahreini, Fardin and Hammad, Amin ORCID: https://orcid.org/0000-0002-2507-4976 (2021) Towards an Ontology for BIM-Based Robotic Navigation and Inspection Tasks. In: Proceedings of the 38th International Symposium on Automation and Robotics in Construction. International Association on Automation and Robotics in Construction, Dubai, United Arab Emirates, pp. 1025-1032. ISBN 978-952-69524-1-3

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Official URL: https://doi.org/10.22260/ISARC2021/0138

Abstract

The availability of inspection robots in the construction and operation phases of buildings has led to expanding the scope of applications and increasing technological challenges. Furthermore, the Building Information Modeling (BIM) based approach for robotic inspection is expected to improve the inspection process as the BIM models contain accurate geometry and relevant information at different phases of the lifecycle of a building. Several studies have used BIM for navigation purposes. However, the research in this area is still limited and fragmented, and there is a need to develop an integrated ontology to be used as a first step towards logic-based inspection. This paper aims to develop an Ontology for BIM-based Robotic Navigation and Inspection Tasks (OBRNIT). The semantic representation of OBRNIT was evaluated through a case study. The evaluation confirms that OBRNIT covers the domain's concepts and relationships, and can be applied to develop robotic inspection systems.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Concordia Institute for Information Systems Engineering
Item Type:Book Section
Refereed:Yes
Authors:Bahreini, Fardin and Hammad, Amin
Date:2 November 2021
Digital Object Identifier (DOI):10.22260/ISARC2021/0138
Keywords:Ontology; BIM; Robotics; Navigation; Inspection
ID Code:994082
Deposited By: Fardin Bahreini
Deposited On:01 Aug 2024 17:34
Last Modified:01 Aug 2024 17:34
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