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Multirobot Localization in Highly Symmetrical Environments

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Abstract

The paper addresses and solves the problem of multirobot collaborative localization in highly symmetrical 2D environments, such as the ones encountered in logistic applications. Because of the environment symmetry, the most common localization algorithms may fail to provide a correct estimate of the position and orientation of the robot, if its initial position is not known, no specific landmark is introduced, and no absolute information (e.g., GPS) is available: the robot can estimate its position with respect to the walls of the corridor, but it could be critical to determine in which corridor it is actually moving. The proposed algorithm is based upon a particle filter cooperative Monte Carlo Localization (MCL) and implements a three-stage procedure for the global localization and the accurate position tracking of each robot of the team. Online simulations and experimental tests, which investigate different situations with respect to the number of robots involved and their initial positions, show how the proposed solution can lead to the global localization of each robot, with a precision sufficient to be used as starting point for the subsequent robot tracking.

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Authors and Affiliations

  1. General Motors Powertrain Europe S.r.l., Corso Castelfidardo 36, 10138, Torino, Italy

    Fabrizio Abrate

  2. Dipartimento di Automatica e Informatica, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129, Torino, Italy

    Basilio Bona, Marina Indri, Stefano Rosa & Federico Tibaldi

Authors
  1. Fabrizio Abrate
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  2. Basilio Bona
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  3. Marina Indri
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  4. Stefano Rosa
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  5. Federico Tibaldi
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Corresponding author

Correspondence to Stefano Rosa.

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Abrate, F., Bona, B., Indri, M. et al. Multirobot Localization in Highly Symmetrical Environments. J Intell Robot Syst 71, 403–421 (2013). https://doi.org/10.1007/s10846-012-9790-6

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  • DOI: https://doi.org/10.1007/s10846-012-9790-6

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