We consider two "kidnapped" unicycle vehicles released in an unknown environment. Each one is in sight of a ranging sensor (anchor) and has to choose a trajectory that enables it to localise itself relying only on its anchor measurements, on its odometry and on the information (state and mutual distance) that it can exchange with the other vehicle when they are sufficiently close. We propose a motion planning algorithm that solves the simultaneous localisation problem in this challenging scenario.

Perception-Aware Trajectory Planning for a Pair of Unicycle-Like Robots With Absolute and Relative Ranging Measurements / Riz, Francesco; Palopoli, Luigi; Fontanelli, Daniele. - In: IEEE CONTROL SYSTEMS LETTERS. - ISSN 2475-1456. - 7:(2023), pp. 1530-1535. [10.1109/LCSYS.2023.3274448]

Perception-Aware Trajectory Planning for a Pair of Unicycle-Like Robots With Absolute and Relative Ranging Measurements

Riz, Francesco
Primo
;
Palopoli, Luigi
Secondo
;
Fontanelli, Daniele
Ultimo
2023-01-01

Abstract

We consider two "kidnapped" unicycle vehicles released in an unknown environment. Each one is in sight of a ranging sensor (anchor) and has to choose a trajectory that enables it to localise itself relying only on its anchor measurements, on its odometry and on the information (state and mutual distance) that it can exchange with the other vehicle when they are sufficiently close. We propose a motion planning algorithm that solves the simultaneous localisation problem in this challenging scenario.
2023
Riz, Francesco; Palopoli, Luigi; Fontanelli, Daniele
Perception-Aware Trajectory Planning for a Pair of Unicycle-Like Robots With Absolute and Relative Ranging Measurements / Riz, Francesco; Palopoli, Luigi; Fontanelli, Daniele. - In: IEEE CONTROL SYSTEMS LETTERS. - ISSN 2475-1456. - 7:(2023), pp. 1530-1535. [10.1109/LCSYS.2023.3274448]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/399172
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