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Using Full Pose Measurement for Serial Robot Calibration
To ensure smooth robot operations, parameters of its kinematic model and a registration transformation between robot base and world coordinate frame must be determined. Both tasks require data acquired by external sensors that can measure either 3D locations or full 6D poses. We show that use of ful...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9888179/ https://www.ncbi.nlm.nih.gov/pubmed/36726793 http://dx.doi.org/10.3390/app12073680 |
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author | Franaszek, Marek Marvel, Jeremy A. |
author_facet | Franaszek, Marek Marvel, Jeremy A. |
author_sort | Franaszek, Marek |
collection | PubMed |
description | To ensure smooth robot operations, parameters of its kinematic model and a registration transformation between robot base and world coordinate frame must be determined. Both tasks require data acquired by external sensors that can measure either 3D locations or full 6D poses. We show that use of full pose measurements leads to much smaller robot orientation errors when compared with the outcome of calibration and registration procedures based on 3D data only. Robot position errors are comparable for both types of data. The conclusion is based on extensive simulations of 7 degrees of freedom robot arm and different levels of pseudo-noise perturbing both positional and rotational components of pose. |
format | Online Article Text |
id | pubmed-9888179 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-98881792023-01-31 Using Full Pose Measurement for Serial Robot Calibration Franaszek, Marek Marvel, Jeremy A. Appl Sci (Basel) Article To ensure smooth robot operations, parameters of its kinematic model and a registration transformation between robot base and world coordinate frame must be determined. Both tasks require data acquired by external sensors that can measure either 3D locations or full 6D poses. We show that use of full pose measurements leads to much smaller robot orientation errors when compared with the outcome of calibration and registration procedures based on 3D data only. Robot position errors are comparable for both types of data. The conclusion is based on extensive simulations of 7 degrees of freedom robot arm and different levels of pseudo-noise perturbing both positional and rotational components of pose. 2022 /pmc/articles/PMC9888179/ /pubmed/36726793 http://dx.doi.org/10.3390/app12073680 Text en https://creativecommons.org/licenses/by/4.0/This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Franaszek, Marek Marvel, Jeremy A. Using Full Pose Measurement for Serial Robot Calibration |
title | Using Full Pose Measurement for Serial Robot Calibration |
title_full | Using Full Pose Measurement for Serial Robot Calibration |
title_fullStr | Using Full Pose Measurement for Serial Robot Calibration |
title_full_unstemmed | Using Full Pose Measurement for Serial Robot Calibration |
title_short | Using Full Pose Measurement for Serial Robot Calibration |
title_sort | using full pose measurement for serial robot calibration |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9888179/ https://www.ncbi.nlm.nih.gov/pubmed/36726793 http://dx.doi.org/10.3390/app12073680 |
work_keys_str_mv | AT franaszekmarek usingfullposemeasurementforserialrobotcalibration AT marveljeremya usingfullposemeasurementforserialrobotcalibration |