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A fast task planning system for 6R articulated robots based on inverse kinematics
Robots bring eventful impacts to the workplace, benefiting from the advantages of implementing any technology should be based on the premise of safety. This work proposes a systematic method to establish a postprocessor module for any specified 6R articulated robot. Instead of obsessively emphasizin...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer London
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9924889/ https://www.ncbi.nlm.nih.gov/pubmed/36819462 http://dx.doi.org/10.1007/s00170-023-11002-2 |
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author | Lai, Yuan-Lung |
author_facet | Lai, Yuan-Lung |
author_sort | Lai, Yuan-Lung |
collection | PubMed |
description | Robots bring eventful impacts to the workplace, benefiting from the advantages of implementing any technology should be based on the premise of safety. This work proposes a systematic method to establish a postprocessor module for any specified 6R articulated robot. Instead of obsessively emphasizing achieving the desired locations and orientations by hand guiding grab and dragging a robotic arm for operation in teaching mode, the significant end-effector poses are calculated to form a new path for the joints efficiently in this study. Since robotic motion control is usually a complex system whose users must be well trained and acquainted with using them. There is a need for a GUI solution that can provide intuitive robotic motion control on the current location by the user independently, easy setup, arrangement, adjustment, and monitoring robot motion tasks. The proposed system simplifies the interaction between the technician and the industrial robotic arm in the case of robotic motion control and tracking at a distant location. The presented method is fully adapted to alternate between joint angles and end-effector poses on a graphic user interface system. After developing the capabilities of the solver, a functional postprocessor is programmed inside the proposed GUI system. Examples with specified posture and predefined movements are demonstrated for corroborating the algorithm. The results show considerable efficiency and reliability in task planning and are fully supported for automatic path generation. |
format | Online Article Text |
id | pubmed-9924889 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer London |
record_format | MEDLINE/PubMed |
spelling | pubmed-99248892023-02-14 A fast task planning system for 6R articulated robots based on inverse kinematics Lai, Yuan-Lung Int J Adv Manuf Technol Original Article Robots bring eventful impacts to the workplace, benefiting from the advantages of implementing any technology should be based on the premise of safety. This work proposes a systematic method to establish a postprocessor module for any specified 6R articulated robot. Instead of obsessively emphasizing achieving the desired locations and orientations by hand guiding grab and dragging a robotic arm for operation in teaching mode, the significant end-effector poses are calculated to form a new path for the joints efficiently in this study. Since robotic motion control is usually a complex system whose users must be well trained and acquainted with using them. There is a need for a GUI solution that can provide intuitive robotic motion control on the current location by the user independently, easy setup, arrangement, adjustment, and monitoring robot motion tasks. The proposed system simplifies the interaction between the technician and the industrial robotic arm in the case of robotic motion control and tracking at a distant location. The presented method is fully adapted to alternate between joint angles and end-effector poses on a graphic user interface system. After developing the capabilities of the solver, a functional postprocessor is programmed inside the proposed GUI system. Examples with specified posture and predefined movements are demonstrated for corroborating the algorithm. The results show considerable efficiency and reliability in task planning and are fully supported for automatic path generation. Springer London 2023-02-13 2023 /pmc/articles/PMC9924889/ /pubmed/36819462 http://dx.doi.org/10.1007/s00170-023-11002-2 Text en © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Lai, Yuan-Lung A fast task planning system for 6R articulated robots based on inverse kinematics |
title | A fast task planning system for 6R articulated robots based on inverse kinematics |
title_full | A fast task planning system for 6R articulated robots based on inverse kinematics |
title_fullStr | A fast task planning system for 6R articulated robots based on inverse kinematics |
title_full_unstemmed | A fast task planning system for 6R articulated robots based on inverse kinematics |
title_short | A fast task planning system for 6R articulated robots based on inverse kinematics |
title_sort | fast task planning system for 6r articulated robots based on inverse kinematics |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9924889/ https://www.ncbi.nlm.nih.gov/pubmed/36819462 http://dx.doi.org/10.1007/s00170-023-11002-2 |
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