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BIM-based task and motion planning prototype for robotic assembly of COVID-19 hospitalisation light weight structures
Fast transmission of COVID-19 led to mass cancelling of events to contain the virus outbreak. Amid lockdown restrictions, a vast number of construction projects came to a halt. Robotic platforms can perform construction projects in an unmanned manner, thus ensuring the essential construction tasks a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9117582/ https://www.ncbi.nlm.nih.gov/pubmed/35607382 http://dx.doi.org/10.1016/j.autcon.2022.104370 |
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author | Gao, Yifan Meng, Jiawei Shu, Jiangpeng Liu, Yuanchang |
author_facet | Gao, Yifan Meng, Jiawei Shu, Jiangpeng Liu, Yuanchang |
author_sort | Gao, Yifan |
collection | PubMed |
description | Fast transmission of COVID-19 led to mass cancelling of events to contain the virus outbreak. Amid lockdown restrictions, a vast number of construction projects came to a halt. Robotic platforms can perform construction projects in an unmanned manner, thus ensuring the essential construction tasks are not suspended during the pandemic. This research developed a BIM-based prototype, including a task planning algorithm and a motion planning algorithm, to assist in the robotic assembly of COVID-19 hospitalisation light weight structures with prefabricated components. The task planning algorithm can determine the assembly sequence and coordinates for various types of prefabricated components. The motion planning algorithm can generate robots' kinematic parameters for performing the assembly of the prefabricated components. Testing of the prototype finds that it has satisfactory performance in terms of 1) the reasonableness of assembly sequence determined, 2) reachability for the assembly coordinates of prefabricated components, and 3) capability to avoid obstacles. |
format | Online Article Text |
id | pubmed-9117582 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91175822022-05-19 BIM-based task and motion planning prototype for robotic assembly of COVID-19 hospitalisation light weight structures Gao, Yifan Meng, Jiawei Shu, Jiangpeng Liu, Yuanchang Autom Constr Article Fast transmission of COVID-19 led to mass cancelling of events to contain the virus outbreak. Amid lockdown restrictions, a vast number of construction projects came to a halt. Robotic platforms can perform construction projects in an unmanned manner, thus ensuring the essential construction tasks are not suspended during the pandemic. This research developed a BIM-based prototype, including a task planning algorithm and a motion planning algorithm, to assist in the robotic assembly of COVID-19 hospitalisation light weight structures with prefabricated components. The task planning algorithm can determine the assembly sequence and coordinates for various types of prefabricated components. The motion planning algorithm can generate robots' kinematic parameters for performing the assembly of the prefabricated components. Testing of the prototype finds that it has satisfactory performance in terms of 1) the reasonableness of assembly sequence determined, 2) reachability for the assembly coordinates of prefabricated components, and 3) capability to avoid obstacles. Elsevier B.V. 2022-08 2022-05-19 /pmc/articles/PMC9117582/ /pubmed/35607382 http://dx.doi.org/10.1016/j.autcon.2022.104370 Text en © 2022 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Gao, Yifan Meng, Jiawei Shu, Jiangpeng Liu, Yuanchang BIM-based task and motion planning prototype for robotic assembly of COVID-19 hospitalisation light weight structures |
title | BIM-based task and motion planning prototype for robotic assembly of COVID-19 hospitalisation light weight structures |
title_full | BIM-based task and motion planning prototype for robotic assembly of COVID-19 hospitalisation light weight structures |
title_fullStr | BIM-based task and motion planning prototype for robotic assembly of COVID-19 hospitalisation light weight structures |
title_full_unstemmed | BIM-based task and motion planning prototype for robotic assembly of COVID-19 hospitalisation light weight structures |
title_short | BIM-based task and motion planning prototype for robotic assembly of COVID-19 hospitalisation light weight structures |
title_sort | bim-based task and motion planning prototype for robotic assembly of covid-19 hospitalisation light weight structures |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9117582/ https://www.ncbi.nlm.nih.gov/pubmed/35607382 http://dx.doi.org/10.1016/j.autcon.2022.104370 |
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