Distributed Formation Shape Control of Identity-less Robot Swarms

Fuente: arXiv
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Main Authors: Sun, Guibin, Xu, Yang, Liu, Kexin, Lü, Jinhu
Format: Preprint
Published: 2024
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author Sun, Guibin
Xu, Yang
Liu, Kexin
Lü, Jinhu
author_facet Sun, Guibin
Xu, Yang
Liu, Kexin
Lü, Jinhu
contents 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 are applicable to simple cases where the target formation is stationary, ours can tackle more general maneuvering formations such as translation, rotation, or even shape deformation. Both numerical simulation and flight experiment are presented to verify the effectiveness and robustness of our proposed formation strategy.
format Preprint
id arxiv_https___arxiv_org_abs_2410_23581
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Distributed Formation Shape Control of Identity-less Robot Swarms
Sun, Guibin
Xu, Yang
Liu, Kexin
Lü, Jinhu
Robotics
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 are applicable to simple cases where the target formation is stationary, ours can tackle more general maneuvering formations such as translation, rotation, or even shape deformation. Both numerical simulation and flight experiment are presented to verify the effectiveness and robustness of our proposed formation strategy.
title Distributed Formation Shape Control of Identity-less Robot Swarms
topic Robotics
url https://arxiv.org/abs/2410.23581