TY - JOUR
T1 - Artificial intelligence for deconstruction: Current state, challenges, and opportunities
AU - Balogun, Habeeb
AU - Alaka, Hafiz
AU - Demir, Eren
AU - Egwim, Christian Nnaemeka
AU - Sulaimon, Ismail
AU - Olu-Ajayi, Razak
AU - Oseghale, Raphael
N1 - © 2024 The Authors. Published by Elsevier B.V. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY), https://creativecommons.org/licenses/by/4.0/
PY - 2024/10
Y1 - 2024/10
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - Challenges
KW - Deconstruction
KW - Opportunities
KW - Sustainability
UR - http://www.scopus.com/inward/record.url?scp=85199928678&partnerID=8YFLogxK
U2 - 10.1016/j.autcon.2024.105641
DO - 10.1016/j.autcon.2024.105641
M3 - Review article
AN - SCOPUS:85199928678
SN - 0926-5805
VL - 166
SP - 1
EP - 15
JO - Automation in Construction
JF - Automation in Construction
M1 - 105641
ER -