Quotient Geometry and Persistence-Stable Metrics for Swarm Configurations
Mark M. Bailey

TL;DR
This paper introduces a geometric framework for comparing swarm configurations using persistence-stable, symmetry-invariant metrics that are robust to reconfiguration and relabeling, with theoretical analysis and practical examples.
Contribution
It develops a quotient formation space and a formation matching metric that relaxes Gromov--Hausdorff distance, providing stable signatures for swarm reconfiguration monitoring.
Findings
The metric is a structured relaxation of Gromov--Hausdorff distance.
Persistence stability of the signatures is established.
In a phase-circle model, the $H_0$ signature is bi-Lipschitz to the metric under certain conditions.
Abstract
Swarm and constellation reconfiguration can be viewed as motion of an unordered point configuration in an ambient space. Here, we provide persistence-stable, symmetry-invariant geometric representations for comparing and monitoring multi-agent configuration data. We introduce a quotient formation space and a formation matching metric obtained by optimizing a worst-case assignment error over ambient symmetries and relabelings . This metric is a structured, physically interpretable relaxation of Gromov--Hausdorff distance: the induced inter-agent metric spaces satisfy . Composing this bound with stability of Vietoris--Rips persistence yields , providing persistence-stable signatures for reconfiguration monitoring. We…
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Taxonomy
TopicsTopological and Geometric Data Analysis · Distributed Control Multi-Agent Systems · Slime Mold and Myxomycetes Research
