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Beedroids: How Luminous Autonomous Swarms of UAVs Can Save the World?

Authors Quentin Bramas , Stéphane Devismes , Anaïs Durand , Pascal Lafourcade , Anissa Lamani



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Quentin Bramas
  • University of Strasbourg, ICUBE, CNRS, France
Stéphane Devismes
  • Université de Picardie Jules Verne, MIS UR 4290, Amiens, France
Anaïs Durand
  • University Clermont Auvergne, CNRS UMR 6158, LIMOS, Aubière, France
Pascal Lafourcade
  • University Clermont Auvergne, CNRS UMR 6158, LIMOS, Aubière, France
Anissa Lamani
  • University of Strasbourg, ICUBE, CNRS, France

Cite AsGet BibTex

Quentin Bramas, Stéphane Devismes, Anaïs Durand, Pascal Lafourcade, and Anissa Lamani. Beedroids: How Luminous Autonomous Swarms of UAVs Can Save the World?. In 11th International Conference on Fun with Algorithms (FUN 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 226, pp. 7:1-7:21, Schloss Dagstuhl - Leibniz-Zentrum für Informatik (2022)
https://doi.org/10.4230/LIPIcs.FUN.2022.7

Abstract

Bee extinction is a great risk for humanity. To circumvent this ineluctable disaster, we propose to develop beedroids, i.e., small UAVs mimicking the behaviors of real bees. Those beedroids are endowed with very weak capabilities (short-range visibility sensors, no GPS, light with a few colors, ...). Like real bees, they have to self-organize together into swarms. Beedroid swarms will be deployed in cuboid-shaped greenhouse. Each beedroid swarm will have to indefinitely search for flowers to pollinate in its greenhouse. We model this problem as a perpetual exploration of a 3D grid by a swarm of beedroids. In this paper, we propose two optimal solutions to solve this problem and so to save humanity.

Subject Classification

ACM Subject Classification
  • Theory of computation → Distributed algorithms
Keywords
  • Bee extinction
  • luminous swarms of beedroids
  • perpetual flower pollination problem
  • greenhouse

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References

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