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Vision-augmented robotic fabrication (V-aRF): systematic review on contemporary approaches and computational methods in architectural fabrication and assembly using machine vision

Crossref DOI link: https://doi.org/10.1007/s41693-024-00139-5

Published Online: 2024-10-16

Published Print: 2024-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Çapunaman, Özgüç Bertuğ

Gürsoy, Benay
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Text and Data Mining valid from 2024-10-16

Version of Record valid from 2024-10-16
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Article History

Received: 26 April 2024

Accepted: 5 August 2024

First Online: 16 October 2024

Declarations

:

: The authors declare that there are no Conflict of interest regarding the publication of this paper. This work has been conducted independently, with no influence from any sponsors or affiliations that could have affected the results and conclusions of this study.

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