Geometric calibration of industrial robots using enhanced partial pose measurements and design of experiments

Yier Wu 1 Alexandr Klimchik 2, 1 Stéphane Caro 1 Benoit Furet 1 Anatol Pashkevich 2, 1
1 IRCCyN - Institut de Recherche en Communications et en Cybernétique de Nantes
2 Mines Nantes - Mines Nantes
Abstract : The paper deals with geometric calibration of industrial robots and focuses on reduction of the measurement noise impact by means of proper selection of the manipulator configurations in calibration experiments. Particular attention is paid to the enhancement of measurement and optimization techniques employed in geometric parameter identification. The developed method implements a complete and irreducible geometric model for serial manipulator, which takes into account different sources of errors (link lengths, joint offsets, etc). In contrast to other works, a new industry-oriented performance measure is proposed for optimal measurement configuration selection that improves the existing techniques via using the direct measurement data only. This new approach is aimed at finding the calibration configurations that ensure the best robot positioning accuracy after geometric error compensation. Experimental study of heavy industrial robot KUKA KR-270 illustrates the benefits of the developed pose strategy technique and the corresponding accuracy improvement.
Keywords : Geometric calibration Enhanced partial pose measurement Serial industrial robots Design of experiments Industry-oriented performance measure
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Article dans une revue
Robotics and Computer-Integrated Manufacturing, Elsevier, 2015, 35, pp.151-168. 〈10.1016/j.rcim.2015.03.007〉
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Soumis le : jeudi 3 mai 2018 - 14:41:19
Dernière modification le : lundi 16 juillet 2018 - 10:10:26

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UNIV-NANTES | DAPI | UNAM | IRCCYN | IMT-ATLANTIQUE

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Yier Wu, Alexandr Klimchik, Stéphane Caro, Benoit Furet, Anatol Pashkevich. Geometric calibration of industrial robots using enhanced partial pose measurements and design of experiments. Robotics and Computer-Integrated Manufacturing, Elsevier, 2015, 35, pp.151-168. 〈10.1016/j.rcim.2015.03.007〉. 〈hal-01201694〉

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