DANCERS: A Physics and Network Co-Simulator for Communicating Multi-Robot Systems

Multi-robot systems equipped with wireless communication devices can outperform single-robot platforms through cooperation. However, such wireless network face challenges such as the unreliable wireless channels, physical obstacles, uneven terrains, and potential malicious attacks. Studying the interplay between the physical and network aspects of these systems proves challenging because existing physics simulators often lack realistic communication models, while network simulators typically use over-simplified physics and mobility models. To address this gap, we introduce DANCERS, a novel co-simulation platform providing synchronization and information exchange between any robotic and any network simulator. DANCERS is evaluated in terms of computational performance, overhead and correctness, and its capabilities are demonstrated through a multi-robot use case.

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Publication Details

Published
2025-04-14
DOI
https://doi.org/10.1109/simpar62925.2025.10979148
Citations
1
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
1.49
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article

DANCERS: A Physics and Network Co-Simulator for Communicating Multi-Robot Systems

Olivier Simonin, T. Balaguer, Isabelle Guérin Lassons, Isabelle Fanloni
1 citations
Distributed and Parallel Computing Systems
1.49
article

DANCERS: A Physics and Network Co-Simulator for Communicating Multi-Robot Systems

Olivier Simonin, T. Balaguer, Isabelle Guérin Lassons, Isabelle Fanloni
article en
1 citations

Abstract

Multi-robot systems equipped with wireless communication devices can outperform single-robot platforms through cooperation. However, such wireless network face challenges such as the unreliable wireless channels, physical obstacles, uneven terrains, and potential malicious attacks. Studying the interplay between the physical and network aspects of these systems proves challenging because existing physics simulators often lack realistic communication models, while network simulators typically use over-simplified physics and mobility models. To address this gap, we introduce DANCERS, a novel co-simulation platform providing synchronization and information exchange between any robotic and any network simulator. DANCERS is evaluated in terms of computational performance, overhead and correctness, and its capabilities are demonstrated through a multi-robot use case.

École Centrale de Nantes (FR), Université Claude Bernard Lyon 1 (FR), École Normale Supérieure de Lyon (FR), Centre National de la Recherche Scientifique (FR), Laboratoire des Sciences du Numérique de Nantes (FR), Laboratoire de l'Informatique du Parallélisme (FR), Institut National des Sciences Appliquées de Lyon (FR), Nantes Université (FR)
Openalex Percentile: Top 17%
Distributed and Parallel Computing Systems
1.49
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