Solving the Forward Kinematics of Cable-Driven Parallel Robots with Neural Networks and Interval Arithmetic

  • Valentin SchmidtEmail author
  • Bertram Müller
  • Andreas Pott
Conference paper
Part of the Mechanisms and Machine Science book series (Mechan. Machine Science, volume 15)


This paper investigates a new approach for solving the forward kinematics of cable-driven parallel robots. This approach combines an interval algorithm with neural networks to provide a fast but accurate initial guess. The neural networks increase the computation speed by a factor of 200 or more, while the interval algorithm provides guaranteed convergence and a definite solution to any chosen degree of accuracy. Iterative techniques are faster still, but the proposed algorithm is considered real-time feasible.


Cable-driven robots Neural networks Interval analysis Kinematics 



This work was partially supported by the Fraunhofer-Gesellschaft Internal Programs under Grant No. WISA 823 244. Furthermore, the research leading to these results received founding for the European Community’s Seventh Framework Program under Grant agreement number NMP2-SL-2011-285404-CableBot.


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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Valentin Schmidt
    • 1
    Email author
  • Bertram Müller
    • 1
  • Andreas Pott
    • 1
  1. 1.Fraunhofer Institute for Manufacturing Engineering and Automation IPAStuttgartGermany

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