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Mission Planning and Execution in Heterogeneous Teams of Aerial Robots supporting Power Line Inspection Operations

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00359359" target="_blank" >RIV/68407700:21230/22:00359359 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/ICUAS54217.2022.9836234" target="_blank" >https://doi.org/10.1109/ICUAS54217.2022.9836234</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ICUAS54217.2022.9836234" target="_blank" >10.1109/ICUAS54217.2022.9836234</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Mission Planning and Execution in Heterogeneous Teams of Aerial Robots supporting Power Line Inspection Operations

  • Original language description

    A software architecture aimed at coordinating a team of heterogeneous aerial vehicles for inspection and maintenance operations in high-voltage power line scenarios is presented in this paper. A hierarchical approach deals with high-level tasks by planning and executing complex missions requiring vehicles to support human operators. A resource-constrained problem allows distributing tasks among the team taking into account vehicles’ capabilities and battery constraints. Besides, Behavior Trees (BTs) are in charge of mission execution, triggering replanning operations in case of unforeseen events, such as vehicle faults or communication drop-outs. The feasibility and validity of the approach are showcased through realistic simulations achieved in Gazebo.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20204 - Robotics and automatic control

Result continuities

  • Project

  • Continuities

    R - Projekt Ramcoveho programu EK

Others

  • Publication year

    2022

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2022 International Conference on Unmanned Aircraft Systems (ICUAS)

  • ISBN

    978-1-6654-0593-5

  • ISSN

    2373-6720

  • e-ISSN

    2575-7296

  • Number of pages

    6

  • Pages from-to

    1644-1649

  • Publisher name

    IEEE Industrial Electronics Society

  • Place of publication

    Piscataway

  • Event location

    Dubrovnik

  • Event date

    Jun 21, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000854030400196