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Trajectory Generation for Flexible-Joint Space Manipulators
Space manipulator arms often exhibit significant joint flexibility and limited motor torque. Future space missions, including satellite servicing and large structure assembly, may involve the manipulation of massive objects, which will accentuate these limitations. Currently, astronauts use visual f...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9009532/ https://www.ncbi.nlm.nih.gov/pubmed/35433841 http://dx.doi.org/10.3389/frobt.2022.687595 |
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author | Carabis, David S. Wen, John T. |
author_facet | Carabis, David S. Wen, John T. |
author_sort | Carabis, David S. |
collection | PubMed |
description | Space manipulator arms often exhibit significant joint flexibility and limited motor torque. Future space missions, including satellite servicing and large structure assembly, may involve the manipulation of massive objects, which will accentuate these limitations. Currently, astronauts use visual feedback on-orbit to mitigate oscillations and trajectory following issues. Large time delays between orbit and Earth make ground teleoperation difficult in these conditions, so more autonomous operations must be considered to remove the astronaut resource requirement and expand robotic capabilities in space. Trajectory planning for autonomous systems must therefore be considered to prevent poor trajectory tracking performance. We provide a model-based trajectory generation methodology that incorporates constraints on joint speed, motor torque, and base actuation for flexible-joint space manipulators while minimizing total trajectory time. Full spatial computer simulation results, as well as physical experiment results with a single-joint robot on an air bearing table, show the efficacy of our methodology. |
format | Online Article Text |
id | pubmed-9009532 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90095322022-04-15 Trajectory Generation for Flexible-Joint Space Manipulators Carabis, David S. Wen, John T. Front Robot AI Robotics and AI Space manipulator arms often exhibit significant joint flexibility and limited motor torque. Future space missions, including satellite servicing and large structure assembly, may involve the manipulation of massive objects, which will accentuate these limitations. Currently, astronauts use visual feedback on-orbit to mitigate oscillations and trajectory following issues. Large time delays between orbit and Earth make ground teleoperation difficult in these conditions, so more autonomous operations must be considered to remove the astronaut resource requirement and expand robotic capabilities in space. Trajectory planning for autonomous systems must therefore be considered to prevent poor trajectory tracking performance. We provide a model-based trajectory generation methodology that incorporates constraints on joint speed, motor torque, and base actuation for flexible-joint space manipulators while minimizing total trajectory time. Full spatial computer simulation results, as well as physical experiment results with a single-joint robot on an air bearing table, show the efficacy of our methodology. Frontiers Media S.A. 2022-03-31 /pmc/articles/PMC9009532/ /pubmed/35433841 http://dx.doi.org/10.3389/frobt.2022.687595 Text en Copyright © 2022 Carabis and Wen. 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 Carabis, David S. Wen, John T. Trajectory Generation for Flexible-Joint Space Manipulators |
title | Trajectory Generation for Flexible-Joint Space Manipulators |
title_full | Trajectory Generation for Flexible-Joint Space Manipulators |
title_fullStr | Trajectory Generation for Flexible-Joint Space Manipulators |
title_full_unstemmed | Trajectory Generation for Flexible-Joint Space Manipulators |
title_short | Trajectory Generation for Flexible-Joint Space Manipulators |
title_sort | trajectory generation for flexible-joint space manipulators |
topic | Robotics and AI |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9009532/ https://www.ncbi.nlm.nih.gov/pubmed/35433841 http://dx.doi.org/10.3389/frobt.2022.687595 |
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