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Application of an adapted FMEA framework for robot-inclusivity of built environments

Mobile robots are deployed in the built environment at increasing rates. However, lack of considerations for a robot-inclusive planning has led to physical spaces that would potentially pose hazards to robots, and contribute to an overall productivity decline for mobile service robots. This research...

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Autores principales: Ng, Y. J., Yeo, Matthew S. K., Ng, Q. B., Budig, Michael, Muthugala, M. A. Viraj J., Samarakoon, S. M. Bhagya P., Mohan, R. E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8888750/
https://www.ncbi.nlm.nih.gov/pubmed/35233018
http://dx.doi.org/10.1038/s41598-022-06902-4
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author Ng, Y. J.
Yeo, Matthew S. K.
Ng, Q. B.
Budig, Michael
Muthugala, M. A. Viraj J.
Samarakoon, S. M. Bhagya P.
Mohan, R. E.
author_facet Ng, Y. J.
Yeo, Matthew S. K.
Ng, Q. B.
Budig, Michael
Muthugala, M. A. Viraj J.
Samarakoon, S. M. Bhagya P.
Mohan, R. E.
author_sort Ng, Y. J.
collection PubMed
description Mobile robots are deployed in the built environment at increasing rates. However, lack of considerations for a robot-inclusive planning has led to physical spaces that would potentially pose hazards to robots, and contribute to an overall productivity decline for mobile service robots. This research proposes the use of an adapted Failure Mode and Effects Analysis (FMEA) as a structured tool to evaluate a building’s level of robot-inclusivity and safety for service robot deployments. This Robot-Inclusive FMEA (RIFMEA) framework, is used to identify failures in the built environment that compromise the workflow of service robots, assess their effects and causes, and provide recommended actions to alleviate these problems. The method was supported with a case study of deploying telepresence robots in a university campus. The study concluded that common failures were related to poor furniture design, a lack of clearance and hazard indicators, and sub-optimal interior planning.
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spelling pubmed-88887502022-03-03 Application of an adapted FMEA framework for robot-inclusivity of built environments Ng, Y. J. Yeo, Matthew S. K. Ng, Q. B. Budig, Michael Muthugala, M. A. Viraj J. Samarakoon, S. M. Bhagya P. Mohan, R. E. Sci Rep Article Mobile robots are deployed in the built environment at increasing rates. However, lack of considerations for a robot-inclusive planning has led to physical spaces that would potentially pose hazards to robots, and contribute to an overall productivity decline for mobile service robots. This research proposes the use of an adapted Failure Mode and Effects Analysis (FMEA) as a structured tool to evaluate a building’s level of robot-inclusivity and safety for service robot deployments. This Robot-Inclusive FMEA (RIFMEA) framework, is used to identify failures in the built environment that compromise the workflow of service robots, assess their effects and causes, and provide recommended actions to alleviate these problems. The method was supported with a case study of deploying telepresence robots in a university campus. The study concluded that common failures were related to poor furniture design, a lack of clearance and hazard indicators, and sub-optimal interior planning. Nature Publishing Group UK 2022-03-01 /pmc/articles/PMC8888750/ /pubmed/35233018 http://dx.doi.org/10.1038/s41598-022-06902-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Ng, Y. J.
Yeo, Matthew S. K.
Ng, Q. B.
Budig, Michael
Muthugala, M. A. Viraj J.
Samarakoon, S. M. Bhagya P.
Mohan, R. E.
Application of an adapted FMEA framework for robot-inclusivity of built environments
title Application of an adapted FMEA framework for robot-inclusivity of built environments
title_full Application of an adapted FMEA framework for robot-inclusivity of built environments
title_fullStr Application of an adapted FMEA framework for robot-inclusivity of built environments
title_full_unstemmed Application of an adapted FMEA framework for robot-inclusivity of built environments
title_short Application of an adapted FMEA framework for robot-inclusivity of built environments
title_sort application of an adapted fmea framework for robot-inclusivity of built environments
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8888750/
https://www.ncbi.nlm.nih.gov/pubmed/35233018
http://dx.doi.org/10.1038/s41598-022-06902-4
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