Distributed Formation Shape Control of Identity-less Robot Swarms
Guibin Sun, Yang Xu, Kexin Liu, Jinhu L\"u

TL;DR
This paper introduces a novel distributed control approach for homogeneous robot swarms to achieve complex, maneuvering formation shapes without relying on robot identities, verified through simulations and experiments.
Contribution
It proposes a dynamic formation description and a fully distributed control law for identity-less swarms, enabling complex shape maneuvers beyond stationary formations.
Findings
Effective formation consensus achieved without robot identities
Control law supports translation, rotation, and shape deformation
Validated through simulations and flight experiments
Abstract
Different from most of the formation strategies where robots require unique labels to identify topological neighbors to satisfy the predefined shape constraints, we here study the problem of identity-less distributed shape formation in homogeneous swarms, which is rarely studied in the literature. The absence of identities creates a unique challenge: how to design appropriate target formations and local behaviors that are suitable for identity-less formation shape control. To address this challenge, we propose the following novel results. First, to avoid using unique identities, we propose a dynamic formation description method and solve the formation consensus of robots in a locally distributed manner. Second, to handle identity-less distributed formations, we propose a fully distributed control law for homogeneous swarms based on locally sensed information. While the existing methods…
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Taxonomy
TopicsDistributed Control Multi-Agent Systems · Modular Robots and Swarm Intelligence · Slime Mold and Myxomycetes Research
