P2P: Point Cloud to Panel Layout Optimization

Nisha Deborah Philips; Yifang Liu; Nolan W. Hayes; Diana Hun; Bryan P. Maldonado

doi:10.22260/ISARC2025/0164

P2P: Point Cloud to Panel Layout Optimization

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Building envelope retrofits, despite their benefits on enhancing energy efficiency, progress slowly due to high operating costs. Overclad panelized systems present an attractive solution to make retrofits affordable and easy to install. However, several stages of the retrofit process remain disconnected, suboptimal, and require significant human intervention. This study aims to bridge the gap between digital twin generation and overclad panel installation by automating the design of an optimal panel layout directly from a building envelope point cloud. In this end-to-end approach, the dimensional twin is generated by segmenting the facade point cloud. The facade then undergoes a three-step process to generate an optimized panel layout for integration with automated placement systems.

Original language	English
Title of host publication	Proceedings of the 42nd International Symposium on Automation and Robotics in Construction, ISARC 2025
Editors	Jiansong Zhang, Qian Chen, Gaang Lee, Vicente A. Gonzalez, Vineet R. Kamat
Publisher	International Association for Automation and Robotics in Construction (IAARC)
Pages	1268-1275
Number of pages	8
ISBN (Electronic)	9780645832228
DOIs	https://doi.org/10.22260/ISARC2025/0164
State	Published - 2025
Event	42nd International Symposium on Automation and Robotics in Construction, ISARC 2025 - Montreal, Canada Duration: Jul 28 2025 → Jul 31 2025

Publication series

Name	Proceedings of the International Symposium on Automation and Robotics in Construction
ISSN (Electronic)	2413-5844

Conference

Conference	42nd International Symposium on Automation and Robotics in Construction, ISARC 2025
Country/Territory	Canada
City	Montreal
Period	07/28/25 → 07/31/25

Funding

This research was sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the U. S. Department of Energy, and used resources at the Building Technologies Research and Integration Center.

Keywords

Building envelope retrofit
Constraint satisfaction problem
Panel layout design

Access to Document

10.22260/ISARC2025/0164

Cite this

Philips, N. D., Liu, Y., Hayes, N. W., Hun, D., & Maldonado, B. P. (2025). P2P: Point Cloud to Panel Layout Optimization. In J. Zhang, Q. Chen, G. Lee, V. A. Gonzalez, & V. R. Kamat (Eds.), Proceedings of the 42nd International Symposium on Automation and Robotics in Construction, ISARC 2025 (pp. 1268-1275). (Proceedings of the International Symposium on Automation and Robotics in Construction). International Association for Automation and Robotics in Construction (IAARC). https://doi.org/10.22260/ISARC2025/0164

Philips, Nisha Deborah ; Liu, Yifang ; Hayes, Nolan W. et al. / P2P : Point Cloud to Panel Layout Optimization. Proceedings of the 42nd International Symposium on Automation and Robotics in Construction, ISARC 2025. editor / Jiansong Zhang ; Qian Chen ; Gaang Lee ; Vicente A. Gonzalez ; Vineet R. Kamat. International Association for Automation and Robotics in Construction (IAARC), 2025. pp. 1268-1275 (Proceedings of the International Symposium on Automation and Robotics in Construction).

@inproceedings{8ffef281a922492d981fb93c29267ba9,

title = "P2P: Point Cloud to Panel Layout Optimization",

abstract = "Building envelope retrofits, despite their benefits on enhancing energy efficiency, progress slowly due to high operating costs. Overclad panelized systems present an attractive solution to make retrofits affordable and easy to install. However, several stages of the retrofit process remain disconnected, suboptimal, and require significant human intervention. This study aims to bridge the gap between digital twin generation and overclad panel installation by automating the design of an optimal panel layout directly from a building envelope point cloud. In this end-to-end approach, the dimensional twin is generated by segmenting the facade point cloud. The facade then undergoes a three-step process to generate an optimized panel layout for integration with automated placement systems.",

keywords = "Building envelope retrofit, Constraint satisfaction problem, Panel layout design",

author = "Philips, \{Nisha Deborah\} and Yifang Liu and Hayes, \{Nolan W.\} and Diana Hun and Maldonado, \{Bryan P.\}",

note = "Publisher Copyright: {\textcopyright} 2025 Proceedings of the International Symposium on Automation and Robotics in Construction. All rights reserved.; 42nd International Symposium on Automation and Robotics in Construction, ISARC 2025 ; Conference date: 28-07-2025 Through 31-07-2025",

year = "2025",

doi = "10.22260/ISARC2025/0164",

language = "English",

series = "Proceedings of the International Symposium on Automation and Robotics in Construction",

publisher = "International Association for Automation and Robotics in Construction (IAARC)",

pages = "1268--1275",

editor = "Jiansong Zhang and Qian Chen and Gaang Lee and Gonzalez, \{Vicente A.\} and Kamat, \{Vineet R.\}",

booktitle = "Proceedings of the 42nd International Symposium on Automation and Robotics in Construction, ISARC 2025",

}

Philips, ND, Liu, Y , Hayes, NW , Hun, D & Maldonado, BP 2025, P2P: Point Cloud to Panel Layout Optimization. in J Zhang, Q Chen, G Lee, VA Gonzalez & VR Kamat (eds), Proceedings of the 42nd International Symposium on Automation and Robotics in Construction, ISARC 2025. Proceedings of the International Symposium on Automation and Robotics in Construction, International Association for Automation and Robotics in Construction (IAARC), pp. 1268-1275, 42nd International Symposium on Automation and Robotics in Construction, ISARC 2025, Montreal, Canada, 07/28/25. https://doi.org/10.22260/ISARC2025/0164

P2P: Point Cloud to Panel Layout Optimization. / Philips, Nisha Deborah; Liu, Yifang ; Hayes, Nolan W. et al.
Proceedings of the 42nd International Symposium on Automation and Robotics in Construction, ISARC 2025. ed. / Jiansong Zhang; Qian Chen; Gaang Lee; Vicente A. Gonzalez; Vineet R. Kamat. International Association for Automation and Robotics in Construction (IAARC), 2025. p. 1268-1275 (Proceedings of the International Symposium on Automation and Robotics in Construction).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Liu, Yifang

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AU - Hun, Diana

AU - Maldonado, Bryan P.

PY - 2025

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AB - Building envelope retrofits, despite their benefits on enhancing energy efficiency, progress slowly due to high operating costs. Overclad panelized systems present an attractive solution to make retrofits affordable and easy to install. However, several stages of the retrofit process remain disconnected, suboptimal, and require significant human intervention. This study aims to bridge the gap between digital twin generation and overclad panel installation by automating the design of an optimal panel layout directly from a building envelope point cloud. In this end-to-end approach, the dimensional twin is generated by segmenting the facade point cloud. The facade then undergoes a three-step process to generate an optimized panel layout for integration with automated placement systems.

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A2 - Zhang, Jiansong

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A2 - Lee, Gaang

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PB - International Association for Automation and Robotics in Construction (IAARC)

Y2 - 28 July 2025 through 31 July 2025

ER -

Philips ND, Liu Y , Hayes NW , Hun D , Maldonado BP. P2P: Point Cloud to Panel Layout Optimization. In Zhang J, Chen Q, Lee G, Gonzalez VA, Kamat VR, editors, Proceedings of the 42nd International Symposium on Automation and Robotics in Construction, ISARC 2025. International Association for Automation and Robotics in Construction (IAARC). 2025. p. 1268-1275. (Proceedings of the International Symposium on Automation and Robotics in Construction). doi: 10.22260/ISARC2025/0164

P2P: Point Cloud to Panel Layout Optimization

Abstract

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Keywords

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