In this paper, the effect of the errors induced by temperature changes on the repeatability positioning error of an industrial robot
is analysed. It has been shown that after the stabilization of the thermal conditions, these errors can be identified with the systematic errors. It has also been shown that if the ambient temperature cannot be sufficiently stabilized, the temperature errors can be
described using a normal or uniform probability distribution. Depending on the choice of a point in the robot’s workspace and
temperature fluctuations, these errors can comprise a small share of the total error of the robot. Then the total repeatability positioning error can be approximated with sufficient accuracy by a normal probability distribution or it can comprise the dominant
component of this error. In this case, the total error can be approximated using a flat normal distribution. It has been shown that,
depending on the choice of location in the workspace in which the assembly operation is carried out, it is possible to obtain both
different probabilities of assembling the parts correctly and a different effect of errors caused by slight temperature changes on
the value of those probabilities. The results found indicate the potential possibility of increasing the reliability of the process by
proposing the selection of the location in the robot workspace which has the lowest sensitivity to errors ascribed to changes in
temperature
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Influence of Drift on Robot Repeatability and Its Compensation Michal Vocetka, Zdenko Bobovský, Jan Babjak, Jiří Suder, Stefan Grushko, Jakub Mlotek, Václav Krys, Martin Hagara Applied Sciences
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Expansion of the Initial Temperature Measurement Range Using Crystal-Optical Thermal Transducers Mykhaylo Stepanyak, Mykola Stepanyak, Mykhaylo M. Stepanyak 2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)
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