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A Sufficient Condition for Parameter Identifiability in Robotic Calibration

  • Thibault Gayral
  • David Daney
Conference paper
Part of the Mechanisms and Machine Science book series (Mechan. Machine Science, volume 15)

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 \(O_3\), 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.

Keywords

Conditions for calibration Observability Least-squares 

Notes

Acknowledgments

This work has been supported by Thales Alenia Space and the Region “Provence-Alpes-Côte-d’Azur”.

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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.INRIA Sophia Antipolis Sophia-Antipolis cedexFrance

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