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Planning Fail-Safe Trajectories for Space Robotic Arms
A frequent concern for robot manipulators deployed in dangerous and hazardous environments for humans is the reliability of task executions in the event of a joint failure. A redundant robotic manipulator can be used to mitigate the risk and guarantee a post-failure task completion, which is critica...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671041/ https://www.ncbi.nlm.nih.gov/pubmed/34917652 http://dx.doi.org/10.3389/frobt.2021.710021 |
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author | Porges, Oliver Leidner, Daniel Roa, Máximo A. |
author_facet | Porges, Oliver Leidner, Daniel Roa, Máximo A. |
author_sort | Porges, Oliver |
collection | PubMed |
description | A frequent concern for robot manipulators deployed in dangerous and hazardous environments for humans is the reliability of task executions in the event of a joint failure. A redundant robotic manipulator can be used to mitigate the risk and guarantee a post-failure task completion, which is critical for instance for space applications. This paper describes methods to analyze potential risks due to a joint failure, and introduces tools for fault-tolerant task design and path planning for robotic manipulators. The presented methods are based on off-line precomputed workspace models. The methods are general enough to cope with robots with any type of joint (revolute or prismatic) and any number of degrees of freedom, and might include arbitrarily shaped obstacles in the process, without resorting to simplified models. Application examples illustrate the potential of the approach. |
format | Online Article Text |
id | pubmed-8671041 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86710412021-12-15 Planning Fail-Safe Trajectories for Space Robotic Arms Porges, Oliver Leidner, Daniel Roa, Máximo A. Front Robot AI Robotics and AI A frequent concern for robot manipulators deployed in dangerous and hazardous environments for humans is the reliability of task executions in the event of a joint failure. A redundant robotic manipulator can be used to mitigate the risk and guarantee a post-failure task completion, which is critical for instance for space applications. This paper describes methods to analyze potential risks due to a joint failure, and introduces tools for fault-tolerant task design and path planning for robotic manipulators. The presented methods are based on off-line precomputed workspace models. The methods are general enough to cope with robots with any type of joint (revolute or prismatic) and any number of degrees of freedom, and might include arbitrarily shaped obstacles in the process, without resorting to simplified models. Application examples illustrate the potential of the approach. Frontiers Media S.A. 2021-11-30 /pmc/articles/PMC8671041/ /pubmed/34917652 http://dx.doi.org/10.3389/frobt.2021.710021 Text en Copyright © 2021 Porges, Leidner and Roa. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Robotics and AI Porges, Oliver Leidner, Daniel Roa, Máximo A. Planning Fail-Safe Trajectories for Space Robotic Arms |
title | Planning Fail-Safe Trajectories for Space Robotic Arms |
title_full | Planning Fail-Safe Trajectories for Space Robotic Arms |
title_fullStr | Planning Fail-Safe Trajectories for Space Robotic Arms |
title_full_unstemmed | Planning Fail-Safe Trajectories for Space Robotic Arms |
title_short | Planning Fail-Safe Trajectories for Space Robotic Arms |
title_sort | planning fail-safe trajectories for space robotic arms |
topic | Robotics and AI |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8671041/ https://www.ncbi.nlm.nih.gov/pubmed/34917652 http://dx.doi.org/10.3389/frobt.2021.710021 |
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