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

Maxim Morozov, Jonathan Riise, Rahul Summan, Gareth Pierce, Carmelo Mineo, Charles MacLeod, Roy H. Brown

发表年份
2016
引用次数
22

摘要

This work presents the study of the accuracy of an industrial robot, KUKA KR5 arc NW, used to perform quality inspections of components with complex shapes. Laser tracking and large volume photogrammetry 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.

关键词

Laser trackerRobotOrientation (vector space)PhotogrammetryComputer visionCalibrationMetrologyComputer scienceArtificial intelligenceIndustrial robot

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