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Calculation of Model of the Robot by Neural Network with Robot Joint Distinction

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Book cover Artificial Intelligence and Soft Computing - ICAISC 2004 (ICAISC 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3070))

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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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References

  1. Fu, K.S., Gonzalez, R.C., Lee, C.S.G.: Robotics: control, sensing, vision, and inteligence. McGraw-Hill Book Company, New York (1987)

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  5. Kurek, J.E.: Calculation of Robot Manipulator Model Using Neural Net. In: European Control Conference ECC 1999, Karlsruhe, Germany (1999)

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  6. Możaryn, J., Wildner, C., Kurek, J.E.: Calculation of the Model of the Industrial Robot Using Neural Networks. In: XIV National Control Conference KKA 2002, Zielona Gora, Poland (2002) (in Polish)

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Author information

Authors and Affiliations

  1. Institute of Automatic Control and Robotics, Warsaw University of Technology, Warszawa, ul. Sw.Andrzeja Boboli 8, 02-525

    J. Możaryn & J. E. Kurek

Authors
  1. J. Możaryn
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  2. J. E. Kurek
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Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Academy of Humanities and Economics, Poland

    Leszek Rutkowski

  2. German Research Center of Artificial Intelligence (DFKI), Germany

    Jörg H. Siekmann

  3. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  4. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Initiative in Soft Computing (BISC), 94720-1776, Berkeley, CA

    Lotfi A. Zadeh

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© 2004 Springer-Verlag Berlin Heidelberg

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Możaryn, J., Kurek, J.E. (2004). Calculation of Model of the Robot by Neural Network with Robot Joint Distinction. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds) Artificial Intelligence and Soft Computing - ICAISC 2004. ICAISC 2004. Lecture Notes in Computer Science(), vol 3070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24844-6_122

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  • DOI: https://doi.org/10.1007/978-3-540-24844-6_122

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22123-4

  • Online ISBN: 978-3-540-24844-6

  • eBook Packages: Springer Book Archive

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