Artificial intelligence for deconstruction: Current state, challenges, and opportunities

Balogun, H., Alaka, H., Demir, E., Egwim, C.N, Olu-Ajayi, R., Sulaimon, I. and Oseghale, R. 2024. Artificial intelligence for deconstruction: Current state, challenges, and opportunities. Automation in Construction. 166 105641. https://doi.org/10.1016/j.autcon.2024.105641

TitleArtificial intelligence for deconstruction: Current state, challenges, and opportunities
TypeJournal article
AuthorsBalogun, H., Alaka, H., Demir, E., Egwim, C.N, Olu-Ajayi, R., Sulaimon, I. and Oseghale, R.
Abstract

Artificial intelligence and its subfields, such as machine learning, robotics, optimisation, knowledge-based systems, reality capture and extended reality, have brought remarkable advancements and transformative changes to various industries, including the building deconstruction industry. Acknowledging AI's benefits for deconstruction, this paper aims to investigate AI applications within this domain. A systematic review of existing literature focused on AI applications for planning, implementation and post-implementation activities within the context of deconstruction was carried out. Furthermore, the challenges and opportunities of AI for deconstruction activities were identified and presented in this paper. By offering insights into AI's application for key deconstruction activities, this paper paves the way for realising AI's potential benefits for this sector.

KeywordsArtificial intelligence
Deconstruction
Challenges
Opportunities
Article number105641
JournalAutomation in Construction
Journal citation166
ISSN0926-5805
1872-7891
Year2024
PublisherElsevier
Publisher's version
License
CC BY 4.0
File Access Level
Open (open metadata and files)
Digital Object Identifier (DOI)https://doi.org/10.1016/j.autcon.2024.105641
Publication dates
Published online30 Jul 2024
Published in printOct 2024

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