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arXiv · 1906.06911

Combining Safe Interval Path Planning and Constrained Path Following Control: Preliminary Results

Konstantin Yakovlev·Anton Andreychuk·Juliya Belinskaya·Dmitry Makarov
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Abstract

We study the navigation problem for a robot moving amidst static and dynamic obstacles and rely on a hierarchical approach to solve it. First, the reference trajectory is planned by the safe interval path planning algorithm that is capable of handling any-angle translations and rotations. Second, the path following problem is treated as the constrained control problem and the original flatness-based approach is proposed to generate control. We suggest a few enhancements for the path planning algorithm aimed at finding trajectories that are more likely to be followed by a robot without collisions. Results of the conducted experimental evaluation show that the number of successfully solved navigation instances significantly increases when using the suggested techniques.

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Konstantin Yakovlev, Anton Andreychuk, Juliya Belinskaya, Dmitry Makarov. 2019-06-17. Combining Safe Interval Path Planning and Constrained Path Following Control: Preliminary Results. https://arxiv.org/abs/1906.06911

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