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Fast Kinematic Re-Calibration for Industrial Robot Arms

Accurate kinematic modelling is pivotal in the safe and reliable execution of both contact and non-contact robotic applications. The kinematic models provided by robot manufacturers are valid only under ideal conditions and it is necessary to account for the manufacturing errors, particularly the jo...

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Detalles Bibliográficos
Autores principales: Kana, Sreekanth, Gurnani, Juhi, Ramanathan, Vishal, Turlapati, Sri Harsha, Ariffin, Mohammad Zaidi, Campolo, Domenico
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8952642/
https://www.ncbi.nlm.nih.gov/pubmed/35336465
http://dx.doi.org/10.3390/s22062295
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author Kana, Sreekanth
Gurnani, Juhi
Ramanathan, Vishal
Turlapati, Sri Harsha
Ariffin, Mohammad Zaidi
Campolo, Domenico
author_facet Kana, Sreekanth
Gurnani, Juhi
Ramanathan, Vishal
Turlapati, Sri Harsha
Ariffin, Mohammad Zaidi
Campolo, Domenico
author_sort Kana, Sreekanth
collection PubMed
description Accurate kinematic modelling is pivotal in the safe and reliable execution of both contact and non-contact robotic applications. The kinematic models provided by robot manufacturers are valid only under ideal conditions and it is necessary to account for the manufacturing errors, particularly the joint offsets introduced during the assembling stages, which is identified as the underlying problem for position inaccuracy in more than 90% of the situations. This work was motivated by a very practical need, namely the discrepancy in terms of end-effector kinematics as computed by factory-calibrated internal controller and the nominal kinematic model as per robot datasheet. Even though the problem of robot calibration is not new, the focus is generally on the deployment of external measurement devices (for open loop calibration) or mechanical fixtures (for closed loop calibration). On the other hand, we use the factory-calibrated controller as an ‘oracle’ for our fast-recalibration approach. This allows extracting calibrated intrinsic parameters (e.g., link lengths) otherwise not directly available from the ‘oracle’, for use in ad-hoc control strategies. In this process, we minimize the kinematic mismatch between the ideal and the factory-calibrated robot models for a Kinova Gen3 ultra-lightweight robot by compensating for the joint zero position error and the possible variations in the link lengths. Experimental analysis has been presented to validate the proposed method, followed by the error comparison between the calibrated and un-calibrated models over training and test sets.
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spelling pubmed-89526422022-03-26 Fast Kinematic Re-Calibration for Industrial Robot Arms Kana, Sreekanth Gurnani, Juhi Ramanathan, Vishal Turlapati, Sri Harsha Ariffin, Mohammad Zaidi Campolo, Domenico Sensors (Basel) Article Accurate kinematic modelling is pivotal in the safe and reliable execution of both contact and non-contact robotic applications. The kinematic models provided by robot manufacturers are valid only under ideal conditions and it is necessary to account for the manufacturing errors, particularly the joint offsets introduced during the assembling stages, which is identified as the underlying problem for position inaccuracy in more than 90% of the situations. This work was motivated by a very practical need, namely the discrepancy in terms of end-effector kinematics as computed by factory-calibrated internal controller and the nominal kinematic model as per robot datasheet. Even though the problem of robot calibration is not new, the focus is generally on the deployment of external measurement devices (for open loop calibration) or mechanical fixtures (for closed loop calibration). On the other hand, we use the factory-calibrated controller as an ‘oracle’ for our fast-recalibration approach. This allows extracting calibrated intrinsic parameters (e.g., link lengths) otherwise not directly available from the ‘oracle’, for use in ad-hoc control strategies. In this process, we minimize the kinematic mismatch between the ideal and the factory-calibrated robot models for a Kinova Gen3 ultra-lightweight robot by compensating for the joint zero position error and the possible variations in the link lengths. Experimental analysis has been presented to validate the proposed method, followed by the error comparison between the calibrated and un-calibrated models over training and test sets. MDPI 2022-03-16 /pmc/articles/PMC8952642/ /pubmed/35336465 http://dx.doi.org/10.3390/s22062295 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kana, Sreekanth
Gurnani, Juhi
Ramanathan, Vishal
Turlapati, Sri Harsha
Ariffin, Mohammad Zaidi
Campolo, Domenico
Fast Kinematic Re-Calibration for Industrial Robot Arms
title Fast Kinematic Re-Calibration for Industrial Robot Arms
title_full Fast Kinematic Re-Calibration for Industrial Robot Arms
title_fullStr Fast Kinematic Re-Calibration for Industrial Robot Arms
title_full_unstemmed Fast Kinematic Re-Calibration for Industrial Robot Arms
title_short Fast Kinematic Re-Calibration for Industrial Robot Arms
title_sort fast kinematic re-calibration for industrial robot arms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8952642/
https://www.ncbi.nlm.nih.gov/pubmed/35336465
http://dx.doi.org/10.3390/s22062295
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