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
| Original language | English |
|---|---|
| Journal | Automation in Construction |
| Early online date | 30 Jul 2024 |
| DOIs | |
| Publication status | Published - 1 Oct 2024 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 9 Industry, Innovation, and Infrastructure
-
SDG 11 Sustainable Cities and Communities
-
SDG 12 Responsible Consumption and Production
-
SDG 13 Climate Action
Keywords
- Artificial intelligence
- Deconstruction
- Sustainability
Fingerprint
Dive into the research topics of 'Artificial intelligence for deconstruction: Current state, challenges, and opportunities'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS