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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...

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Detalles Bibliográficos
Autores principales: Carabis, David S., Wen, John T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
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.
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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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