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Decentralized Multi-robot Coverage of Hemispherical Surfaces via Fortune-Based Partitioning

  • Mehdi Belal*
  • , Tiziano Manoni
  • , Dario Albani
  • , Lorenzo Sabattini
  • *Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

This paper presents a distributed framework providing high-level positioning guidance for multi-UAV systems operating on a hemispherical domain. Unlike conventional coverage approaches restricted to planar environments, the proposed method optimizes a coverage objective directly on the hemisphere, enabling three-dimensional viewpoint coordination around a dynamic target. Each UAV computes its motion using only locally available data, while the target position and a predefined probability density function remain independent of team size. The framework is validated through simulations and real-world experiments, demonstrating scalability and robustness.

Original languageEnglish
Title of host publicationSwarm Intelligence
Subtitle of host publication15th International Conference, ANTS 2026, Darmstadt, Germany, June 8–10, 2026, Proceedings
EditorsRoderich Groß, Aaron T. Becker, Gianni A. Di Caro, Bahar Haghighat, M. Ani Hsieh, Razanne Abu-Aisheh, Mohamed S. Talamali, Marco Dorigo
PublisherSpringer Science and Business Media Deutschland GmbH
Pages306-314
Number of pages9
ISBN (Electronic)9783032261236
ISBN (Print)9783032261229
DOIs
Publication statusPublished - 2026
Event15th International Conference on Swarm Intelligence, ANTS 2026 - Darmstadt, Germany
Duration: 8 Jun 202610 Jun 2026

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume16515 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349
NameANTS: International Conference on Swarm Intelligence
PublisherSpringer

Conference

Conference15th International Conference on Swarm Intelligence, ANTS 2026
Country/TerritoryGermany
CityDarmstadt
Period8/06/2610/06/26

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

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