A Multi-Layer Software Architecture for Aerial Cognitive Multi-Robot Systems in Power Line Inspection Tasks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F21%3A00350793" target="_blank" >RIV/68407700:21230/21:00350793 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1109/ICUAS51884.2021.9476813" target="_blank" >https://doi.org/10.1109/ICUAS51884.2021.9476813</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICUAS51884.2021.9476813" target="_blank" >10.1109/ICUAS51884.2021.9476813</a>
Alternative languages
Result language
angličtina
Original language name
A Multi-Layer Software Architecture for Aerial Cognitive Multi-Robot Systems in Power Line Inspection Tasks
Original language description
This paper presents a multi-layer software architecture to perform cooperative missions with a fleet of quad-rotors providing support in electrical power line inspection operations. The proposed software framework guarantees the compliance with safety requirements between drones and human workers while ensuring that the mission is carried out successfully. Besides, cognitive capabilities are integrated in the multi-vehicle system in order to reply to unforeseen events and external disturbances. The feasibility and effectiveness of the proposed architecture are demonstrated by means of realistic simulations.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/GA20-10280S" target="_blank" >GA20-10280S: Reliable sensing-driven compact groups of micro aerial robots with adaptive shapes</a><br>
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
Article name in the collection
2021 International Conference on Unmanned Aircraft Systems (ICUAS)
ISBN
978-0-7381-3115-3
ISSN
2373-6720
e-ISSN
2575-7296
Number of pages
6
Pages from-to
1624-1629
Publisher name
IEEE Xplore
Place of publication
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Event location
Athens
Event date
Jun 15, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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