Computing optimal trajectories for a tethered pursuer

Fuente: arXiv
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Main Authors: Barrera-Vicent, Aurelio, Díaz-Báñez, José Miguel, Rodríguez, Fabio, Sánchez-Canales, Vanesa
Format: Preprint
Published: 2025
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author Barrera-Vicent, Aurelio
Díaz-Báñez, José Miguel
Rodríguez, Fabio
Sánchez-Canales, Vanesa
author_facet Barrera-Vicent, Aurelio
Díaz-Báñez, José Miguel
Rodríguez, Fabio
Sánchez-Canales, Vanesa
contents In this paper, we introduce a trajectory planning problem for a marsupial robotics system consisting of a ground robot, a drone, and a taut tether of bounded length connecting the two robots. This problem can be framed within the context of a pursuit-evasion game. Using a geometric modeling approach, we present an optimal algorithm to compute a minimum-link path for the pursuer (ground robot), given the known path of the evader (drone). Furthermore, we address and solve three related geometric optimization problems, leveraging the intrinsic connections between them.
format Preprint
id arxiv_https___arxiv_org_abs_2507_08724
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Computing optimal trajectories for a tethered pursuer
Barrera-Vicent, Aurelio
Díaz-Báñez, José Miguel
Rodríguez, Fabio
Sánchez-Canales, Vanesa
Computational Geometry
In this paper, we introduce a trajectory planning problem for a marsupial robotics system consisting of a ground robot, a drone, and a taut tether of bounded length connecting the two robots. This problem can be framed within the context of a pursuit-evasion game. Using a geometric modeling approach, we present an optimal algorithm to compute a minimum-link path for the pursuer (ground robot), given the known path of the evader (drone). Furthermore, we address and solve three related geometric optimization problems, leveraging the intrinsic connections between them.
title Computing optimal trajectories for a tethered pursuer
topic Computational Geometry
url https://arxiv.org/abs/2507.08724