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Fast collective evasion in self-localized swarms of unmanned aerial vehicles

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00354131" target="_blank" >RIV/68407700:21230/21:00354131 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1088/1748-3190/ac3060" target="_blank" >https://doi.org/10.1088/1748-3190/ac3060</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1088/1748-3190/ac3060" target="_blank" >10.1088/1748-3190/ac3060</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Fast collective evasion in self-localized swarms of unmanned aerial vehicles

  • Original language description

    A novel approach for achieving fast evasion in self-localized swarms of unmanned aerial vehicles (UAVs) threatened by an intruding moving object is presented in this paper. Motivated by natural self-organizing systems, the presented approach of fast and collective evasion enables the UAV swarm to avoid dynamic objects (interferers) that are actively approaching the group. The main objective of the proposed technique is the fast and safe escape of the swarm from an interferer discovered in proximity. This method is inspired by the collective behavior of groups of certain animals, such as schools of fish or flocks of birds. These animals use the limited information of their sensing organs and decentralized control to achieve reliable and effective group motion. The system presented in this paper is intended to execute the safe coordination of UAV swarms with a large number of agents. Similar to natural swarms, this system propagates a fast shock of information about detected interferers throughout the group to achieve dynamic and collective evasion. The proposed system is fully decentralized using only onboard sensors to mutually localize swarm agents and interferers, similar to how animals accomplish this behavior. As a result, the communication structure between swarm agents is not overwhelmed by information about the state (position and velocity) of each individual and it is reliable to communication dropouts. The proposed system and theory were numerically evaluated and verified in real-world experiments.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20204 - Robotics and automatic control

Result continuities

  • 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)

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Bioinspiration & Biomimetics

  • ISSN

    1748-3182

  • e-ISSN

    1748-3190

  • Volume of the periodical

    16

  • Issue of the periodical within the volume

    6

  • Country of publishing house

    PT - PORTUGAL

  • Number of pages

    19

  • Pages from-to

  • UT code for WoS article

    000717795800001

  • EID of the result in the Scopus database

    2-s2.0-85119667288