Assessing the accuracy of industrial robots through metrology for the enhancement of automated non-destructive testing

Carmelo Mineo, Morozov, Rahul Summan, Mineo, Charles N. Macleod, Riise, Brown, Stephen Gareth Pierce

Risultato della ricerca: Conference contribution

7 Citazioni (Scopus)

Abstract

This work presents the study of the accuracy of an industrial robot, KUKA KR5 arc HW, used to perform quality inspections of components with complex shapes. Laser tracking and large volume photo grammetry were deployed to quantify both pose and dynamic path accuracies of the robot in accordance with ISO 9283:1998. The overall positioning pose inaccuracy of the robot is found to be almost 1 mm and path inaccuracy at 100% of the robot rated velocity is 4.5 mm. The maximum pose orientation inaccuracy is found to be 14 degrees and the maximum path orientation inaccuracy is 5 degrees. Local positional errors manifest pronounced dependence on the position of the robot end effector in the working envelope. The uncertainties of the measurements are discussed and deemed to be caused by the tool centre point calibration, the reference coordinate system transformation and the low accuracy of the photogrammetry system.
Lingua originaleEnglish
Titolo della pubblicazione ospiteIEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems
Pagine335-340
Numero di pagine6
Stato di pubblicazionePublished - 2016

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Computer Science Applications

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