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Optimal Exclusive Perpetual Grid Exploration by Luminous Myopic Robots Without Common Chirality

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Networked Systems (NETYS 2021)

Abstract

We consider swarms of luminous myopic robots that run in synchronous Look-Compute-Move cycles. These robots evolve in a finite grid and are disoriented, i.e., they have neither global compass nor a common chirality. In this context, we propose optimal solutions for the perpetual exploration of a finite grid. Precisely, we investigate optimality in terms of the visibility range, number of robots, number of colors. In more detail, under the optimal visibility range one, we give an algorithm which is optimal w.r.t. the number of robots: it uses three robots and three colors. Under visibility two, we design an algorithm that uses five robots and only one color, i.e., robots are oblivious.

This study was partially supported by the French anr projects ANR-16-CE40-0023 (descartes) and ANR-16 CE25-0009-03 (estate).

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Notes

  1. 1.

    Oblivious robots have no state and cannot remember past actions.

  2. 2.

    The requirement on the numbers of lines and columns is only made for the sake of simplicity.

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Rauch, A., Bramas, Q., Devismes, S., Lafourcade, P., Lamani, A. (2021). Optimal Exclusive Perpetual Grid Exploration by Luminous Myopic Robots Without Common Chirality. In: Echihabi, K., Meyer, R. (eds) Networked Systems. NETYS 2021. Lecture Notes in Computer Science(), vol 12754. Springer, Cham. https://doi.org/10.1007/978-3-030-91014-3_7

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  • DOI: https://doi.org/10.1007/978-3-030-91014-3_7

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