Time Parametrized Motion Planning

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.

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Publication Details

Journal
Mathematics
Published
2024-10-31
DOI
https://doi.org/10.3390/math12213404
Citations
1
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
0.25
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article

Time Parametrized Motion Planning

James D. Biggs, William Holderbaum, Carol Linton, Stuart Taylor
1 citations
Mathematics
Robotic Path Planning Algorithms
0.25
article

Time Parametrized Motion Planning

James D. Biggs, William Holderbaum, Carol Linton, Stuart Taylor
article en
1 citations

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.

MathematicsVol. 12(21)
University of Salford (GB), University of Reading (GB)
Sustainable cities and communities
Openalex Percentile: Top 45%
Robotic Path Planning Algorithms
0.25
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Time Parametrized Motion Planning — James D. Biggs, William Holderbaum, et al. · Mathematics (2024) | TGRS Research Map | TGRS