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Generic design aided robotically facade pick and place in construction site dataset

This Dataset provides a method of optimizing robot arm, facade pick and place locations in the construction site during facade assembly activity using generative design. A set of generative algorithms are provided in the form of graphical algorithm editors. The dataset is divided into three sets, ea...

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Detalles Bibliográficos
Autores principales: Ali, Ahmed Khairadeen, Lee, One Jae, Song, Hayub
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7358387/
https://www.ncbi.nlm.nih.gov/pubmed/32685625
http://dx.doi.org/10.1016/j.dib.2020.105933
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author Ali, Ahmed Khairadeen
Lee, One Jae
Song, Hayub
author_facet Ali, Ahmed Khairadeen
Lee, One Jae
Song, Hayub
author_sort Ali, Ahmed Khairadeen
collection PubMed
description This Dataset provides a method of optimizing robot arm, facade pick and place locations in the construction site during facade assembly activity using generative design. A set of generative algorithms are provided in the form of graphical algorithm editors. The dataset is divided into three sets, each set controlling an essential subtask of facade assembly in the construction site. the dataset is called (iFOBOT) and consist of the following sub datasets: generative tool for facade population on building envelop (iFOBOT-D), Generative algorithm aided robot spatial location optimizer (iFOBOT-B), and Quantity take-off generative (iFOBOT-L). A sample project associated with its script and outcome results are included in this dataset to guide readers how to use this tool. This dataset only focuses on robot arm and facade module placement in construction sites. This dataset can generate optimized location of robot arm workstation in jobsite while also reducing robot collision with its body and surrounding objects, 2) reducing reachability rate, 3) reducing robot time travel during operation which in result minimize risk in facade assembly and increase productivity. This dataset is in parametric format which makes it reusable with all its history data using the reproducing guide provided here. More details of how to reuse this dataset and developed tool in construction site is covered in Robot-based Facade Spatial Assembly Optimization paper [1].
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spelling pubmed-73583872020-07-17 Generic design aided robotically facade pick and place in construction site dataset Ali, Ahmed Khairadeen Lee, One Jae Song, Hayub Data Brief Construction and Architecture This Dataset provides a method of optimizing robot arm, facade pick and place locations in the construction site during facade assembly activity using generative design. A set of generative algorithms are provided in the form of graphical algorithm editors. The dataset is divided into three sets, each set controlling an essential subtask of facade assembly in the construction site. the dataset is called (iFOBOT) and consist of the following sub datasets: generative tool for facade population on building envelop (iFOBOT-D), Generative algorithm aided robot spatial location optimizer (iFOBOT-B), and Quantity take-off generative (iFOBOT-L). A sample project associated with its script and outcome results are included in this dataset to guide readers how to use this tool. This dataset only focuses on robot arm and facade module placement in construction sites. This dataset can generate optimized location of robot arm workstation in jobsite while also reducing robot collision with its body and surrounding objects, 2) reducing reachability rate, 3) reducing robot time travel during operation which in result minimize risk in facade assembly and increase productivity. This dataset is in parametric format which makes it reusable with all its history data using the reproducing guide provided here. More details of how to reuse this dataset and developed tool in construction site is covered in Robot-based Facade Spatial Assembly Optimization paper [1]. Elsevier 2020-06-27 /pmc/articles/PMC7358387/ /pubmed/32685625 http://dx.doi.org/10.1016/j.dib.2020.105933 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Construction and Architecture
Ali, Ahmed Khairadeen
Lee, One Jae
Song, Hayub
Generic design aided robotically facade pick and place in construction site dataset
title Generic design aided robotically facade pick and place in construction site dataset
title_full Generic design aided robotically facade pick and place in construction site dataset
title_fullStr Generic design aided robotically facade pick and place in construction site dataset
title_full_unstemmed Generic design aided robotically facade pick and place in construction site dataset
title_short Generic design aided robotically facade pick and place in construction site dataset
title_sort generic design aided robotically facade pick and place in construction site dataset
topic Construction and Architecture
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7358387/
https://www.ncbi.nlm.nih.gov/pubmed/32685625
http://dx.doi.org/10.1016/j.dib.2020.105933
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