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Use of a Force-Torque Sensor for Self-Calibration of a 6-DOF Medical Robot
The aim of this paper is to improve the position accuracy of a six degree of freedom medical robot. The improvement in accuracy is achieved without the use of any external measurement device. Instead, this work presents a novel calibration approach based on using an embedded force-torque sensor to i...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934224/ https://www.ncbi.nlm.nih.gov/pubmed/27258278 http://dx.doi.org/10.3390/s16060798 |
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author | Joubair, Ahmed Zhao, Long Fei Bigras, Pascal Bonev, Ilian A. |
author_facet | Joubair, Ahmed Zhao, Long Fei Bigras, Pascal Bonev, Ilian A. |
author_sort | Joubair, Ahmed |
collection | PubMed |
description | The aim of this paper is to improve the position accuracy of a six degree of freedom medical robot. The improvement in accuracy is achieved without the use of any external measurement device. Instead, this work presents a novel calibration approach based on using an embedded force-torque sensor to identify the robot’s kinematic parameters and thereby enhance the positioning accuracy. A simulation study demonstrated that our calibration approach is effective, whether or not any measurement noise is present: the position error is improved, inside the robot target workspace, from 12 mm to 0.320 mm, for the maximum values, and from 9 mm to 0.2771 mm, for the mean errors. |
format | Online Article Text |
id | pubmed-4934224 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-49342242016-07-06 Use of a Force-Torque Sensor for Self-Calibration of a 6-DOF Medical Robot Joubair, Ahmed Zhao, Long Fei Bigras, Pascal Bonev, Ilian A. Sensors (Basel) Article The aim of this paper is to improve the position accuracy of a six degree of freedom medical robot. The improvement in accuracy is achieved without the use of any external measurement device. Instead, this work presents a novel calibration approach based on using an embedded force-torque sensor to identify the robot’s kinematic parameters and thereby enhance the positioning accuracy. A simulation study demonstrated that our calibration approach is effective, whether or not any measurement noise is present: the position error is improved, inside the robot target workspace, from 12 mm to 0.320 mm, for the maximum values, and from 9 mm to 0.2771 mm, for the mean errors. MDPI 2016-05-31 /pmc/articles/PMC4934224/ /pubmed/27258278 http://dx.doi.org/10.3390/s16060798 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Joubair, Ahmed Zhao, Long Fei Bigras, Pascal Bonev, Ilian A. Use of a Force-Torque Sensor for Self-Calibration of a 6-DOF Medical Robot |
title | Use of a Force-Torque Sensor for Self-Calibration of a 6-DOF Medical Robot |
title_full | Use of a Force-Torque Sensor for Self-Calibration of a 6-DOF Medical Robot |
title_fullStr | Use of a Force-Torque Sensor for Self-Calibration of a 6-DOF Medical Robot |
title_full_unstemmed | Use of a Force-Torque Sensor for Self-Calibration of a 6-DOF Medical Robot |
title_short | Use of a Force-Torque Sensor for Self-Calibration of a 6-DOF Medical Robot |
title_sort | use of a force-torque sensor for self-calibration of a 6-dof medical robot |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934224/ https://www.ncbi.nlm.nih.gov/pubmed/27258278 http://dx.doi.org/10.3390/s16060798 |
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