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Calculation of model of the robot by neural network with robot joint distinction

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (2004) 3070 792-797
DOI: 10.1007/978-3-540-24844-6_122
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Abstract

There is presented the design of the feedforward neural network for calculation of coefficients of the robot model. Proposed method distinguishes the degrees of freedom and improves the performance of the network using information about the control signals. A numerical example for calculation of the neural network model of Puma 560 robot is presented.

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Mozaryn, J., & Kurek, J. E. (2004). Calculation of model of the robot by neural network with robot joint distinction. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3070, pp. 792–797). Springer Verlag. https://doi.org/10.1007/978-3-540-24844-6_122

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