Abstract
A neural model for robot manipulator is proposed similar to the mathematical model of a robot manipulator in the form of a Lagrange-Euler equation. A learning algorithm based on the backpropagation method is given for a neural model. A numerical example of calculation of a neural model for Puma 560 robot is presented.
Zusammenfassung
Es wird ein neurales Modell für einen Robotermanipulator vorgeschlagen, das dem mathematischen Modell in Form einer Lagrange-Euler-Gleichung ähnelt. Für neurale Modelle wird ein Lernalgorithmus präsentiert, der auf der Backpropagation-Methode basiert, sowie ein numerisches Beispiel für die Berechnung eines neuralen Modells für einen Puma 560 Roboter.
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Kurek, J.E. Calculation of a robot manipulator model in the form of arecurrent neural net. Elektrotech. Inftech. 116, 354–359 (1999). https://doi.org/10.1007/BF03159195
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DOI: https://doi.org/10.1007/BF03159195