Distributed Control of Heterogeneous Team of Autonomous UAVs
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F16%3A00307481" target="_blank" >RIV/68407700:21230/16:00307481 - isvavai.cz</a>
Výsledek na webu
<a href="http://future-forces-forum.org/download/programmeMars.pdf" target="_blank" >http://future-forces-forum.org/download/programmeMars.pdf</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Distributed Control of Heterogeneous Team of Autonomous UAVs
Popis výsledku v původním jazyce
We propose software architecture for distributed control of a heterogeneous team of autonomous UAVs. Architecture allows distributed resource allocation and mission execution without the direct involvement of a human operator in the planning phase. Operator can address all assets as one unit and set global mission goals (such as area surveillance, mobile target tracking) without specifying which particular asset should perform which part of the mission. The system is able to autonomously allocate resources and execute the mission in a distributed manner. Agent-based techniques for negotiation, task allocation and coordination are used. Advantage of this approach is that the system is immune to situations such as loss of connectivity and addition of new or removal of any of the existing assets. Extensible and modular architecture of such a system was implemented. It addresses two important aspects – (i) it enables integration of various types of high and low-level trajectory planners on-board, together with algorithms for orchestrating their mutual dependencies and for solving conflicts among them, (ii) the platform provides a wrapper for planners and control algorithms and interfaces them with the underlying hardware (or simulated) infrastructure. High-level task planners (e.g., surveillance, mobile target tracking, or patrolling) were implemented and can be transparently integrated into the system. We implemented a simulation framework which allows verification of designed control algorithms in several modes, ranging from pure simulation, through the hardware-in-the-loop mode, mixed reality-simulation mode, to deployment on hardware assets. This approach proved to be useful to verify features and robustness of designed algorithms during the various stages of development and to speed up the whole process. Framework can be used for fast prototyping of various algorithms and their verification before deployment of hardware assets and their integration into a NAS
Název v anglickém jazyce
Distributed Control of Heterogeneous Team of Autonomous UAVs
Popis výsledku anglicky
We propose software architecture for distributed control of a heterogeneous team of autonomous UAVs. Architecture allows distributed resource allocation and mission execution without the direct involvement of a human operator in the planning phase. Operator can address all assets as one unit and set global mission goals (such as area surveillance, mobile target tracking) without specifying which particular asset should perform which part of the mission. The system is able to autonomously allocate resources and execute the mission in a distributed manner. Agent-based techniques for negotiation, task allocation and coordination are used. Advantage of this approach is that the system is immune to situations such as loss of connectivity and addition of new or removal of any of the existing assets. Extensible and modular architecture of such a system was implemented. It addresses two important aspects – (i) it enables integration of various types of high and low-level trajectory planners on-board, together with algorithms for orchestrating their mutual dependencies and for solving conflicts among them, (ii) the platform provides a wrapper for planners and control algorithms and interfaces them with the underlying hardware (or simulated) infrastructure. High-level task planners (e.g., surveillance, mobile target tracking, or patrolling) were implemented and can be transparently integrated into the system. We implemented a simulation framework which allows verification of designed control algorithms in several modes, ranging from pure simulation, through the hardware-in-the-loop mode, mixed reality-simulation mode, to deployment on hardware assets. This approach proved to be useful to verify features and robustness of designed algorithms during the various stages of development and to speed up the whole process. Framework can be used for fast prototyping of various algorithms and their verification before deployment of hardware assets and their integration into a NAS
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
JC - Počítačový hardware a software
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů