A sufficient condition for parameter identifiability in robotic calibration

Thibault Gayral 1 David Daney 1
1 COPRIN - Constraints solving, optimization and robust interval analysis
CRISAM - Inria Sophia Antipolis - Méditerranée , ENPC - École des Ponts ParisTech
Abstract : Calibration aims at identifying the model parameters of a robot through experimental measures. In this paper, necessary mathematical conditions for calibration are developed, considering the desired accuracy, the sensor inaccuracy of the joint coordinates, and the measurement noise. They enable to define a physically meaningful stop criterion for the identification algorithm and a numerical bound for the observability index O3, the minimum singular value of the observability matrix. With this bound, observability problems can be safely detected during calibration. Those conditions for calibration are illustrated through a simple example.
Type de document :
Communication dans un congrès
Thomas, Federico and Perez Gracia, Alba. CK2013 - 6th Int. Workshop on Computational Kinematics, May 2013, Barcelona, Spain. Springer Netherlands, 15, pp.131-138, 2013, Mechanisms and Machine Science. 〈http://link.springer.com/chapter/10.1007/978-94-007-7214-4_15〉. 〈10.1007/978-94-007-7214-4_15〉
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https://hal.inria.fr/hal-00903833
Contributeur : Thibault Gayral <>
Soumis le : mercredi 13 novembre 2013 - 11:13:10
Dernière modification le : samedi 27 janvier 2018 - 01:30:57

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Thibault Gayral, David Daney. A sufficient condition for parameter identifiability in robotic calibration. Thomas, Federico and Perez Gracia, Alba. CK2013 - 6th Int. Workshop on Computational Kinematics, May 2013, Barcelona, Spain. Springer Netherlands, 15, pp.131-138, 2013, Mechanisms and Machine Science. 〈http://link.springer.com/chapter/10.1007/978-94-007-7214-4_15〉. 〈10.1007/978-94-007-7214-4_15〉. 〈hal-00903833〉

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