PACNav: A collective navigation approach for UAV swarms deprived of communication and external localization

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00360744" target="_blank" >RIV/68407700:21230/22:00360744 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1088/1748-3190/ac98e6" target="_blank" >https://doi.org/10.1088/1748-3190/ac98e6</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1088/1748-3190/ac98e6" target="_blank" >10.1088/1748-3190/ac98e6</a>

Result language

angličtina

Original language name

PACNav: A collective navigation approach for UAV swarms deprived of communication and external localization

Original language description

This article proposes Persistence Administered Collective Navigation (PACNav) as an approach for achieving decentralized collective navigation of Unmanned Aerial Vehicle (UAV) swarms. The technique is based on the flocking and collective navigation behavior observed in natural swarms, such as cattle herds, bird flocks, and even large groups of humans. As global and concurrent information of all swarm members is not available in natural swarms, these systems use local observations to achieve the desired behavior. Similarly, PACNav relies only on local observations of relative positions of UAVs, making it suitable for large swarms deprived of communication capabilities and external localization systems. We introduce the novel concepts of path persistence and path similarity that allow each swarm member to analyze the motion of other members in order to determine its own future motion. PACNav is based on two main principles: (1) UAVs with little variation in motion direction have high path persistence, and are considered by other UAVs to be reliable leaders; (2) groups of UAVs that move in a similar direction have high path similarity, and such groups are assumed to contain a reliable leader. The proposed approach also embeds a reactive collision avoidance mechanism to avoid collisions with swarm members and environmental obstacles. This collision avoidance ensures safety while reducing deviations from the assigned path. Along with several simulated experiments, we present a real-world experiment in a natural forest, showcasing the validity and effectiveness of the proposed collective navigation approach in challenging environments. The source code is released as open-source, making it possible to replicate the obtained results and facilitate the continuation of research by the community.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20204 - Robotics and automatic control

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Bioinspiration & Biomimetics

ISSN

1748-3182

e-ISSN

1748-3190

Volume of the periodical

2022

Issue of the periodical within the volume

17

Country of publishing house

PT - PORTUGAL

Number of pages

16

Pages from-to

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UT code for WoS article

000878379400001

EID of the result in the Scopus database

2-s2.0-85141890564