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Time Parametrized Motion Planning

Author

Listed:
  • Stuart Taylor

    (School of Science, Engineering, and Environment, Salford University, Salford M5 4NT, UK
    These authors contributed equally to this work.)

  • Carol Linton

    (School of Systems Engineering, University of Reading, Reading RG6 6AY, UK
    These authors contributed equally to this work.)

  • James Biggs

    (School of Science, Engineering, and Environment, Salford University, Salford M5 4NT, UK)

  • William Holderbaum

    (School of Science, Engineering, and Environment, Salford University, Salford M5 4NT, UK)

Abstract

Time can be treated as a free parameter to isotropically stretch the tangent space. A trajectory, which matches the boundary conditions on its configuration, is adjusted so that velocity conditions are met. The modified trajectory is found by substitution, without the computational cost of re-integrating the velocity function. This concept is extended to stretch the tangent space anisotropically. This method of time parametrization especially applies to Geometric Control, where the Pontryagin Maximum Principle minimizes some cost function and matches the boundary configuration constraints but not the velocity constraints. The optimal trajectory is modified by the parametrization so that the cost function is minimized if the stretching is stopped at any time. This is a theoretical contribution, using a wheeled robot example to illustrate the modification of an optimal velocity under multiple parametrizations.

Suggested Citation

  • Stuart Taylor & Carol Linton & James Biggs & William Holderbaum, 2024. "Time Parametrized Motion Planning," Mathematics, MDPI, vol. 12(21), pages 1-13, October.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:21:p:3404-:d:1510963
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