Deployment of Multi-agent Algorithms for Tactical Operations on UAV Hardware
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00206066" target="_blank" >RIV/68407700:21230/13:00206066 - isvavai.cz</a>
Výsledek na webu
<a href="http://dl.acm.org/citation.cfm?id=2485248" target="_blank" >http://dl.acm.org/citation.cfm?id=2485248</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Deployment of Multi-agent Algorithms for Tactical Operations on UAV Hardware
Popis výsledku v původním jazyce
Small Unmanned Aerial Vehicles (UAVs) are becoming increasingly popular for tasks such as surveillance or target tracking in various types of tactical missions. Traditionally, each UAV in a mission is controlled by one or more operators. In our previouswork we have developed a collection of distributed algorithms that allow one operator to control a whole team of small UAVs. Here, we report on our successful effort to deploy the developed multi-agent control algorithms to a team of hardware UAVs. To reduce costs and risk, we first developed the multi-agent control algorithms using simulated approximation of the target environment. Then, we gradually refined the model of the target environment by adding higher-fidelity models of the assets and hardware-in-the loop assets. In the final step, the algorithms were deployed and field tested in a full hardware setting and in a mixed-reality setting, where hardware UAVs are accompanied by a a number of simulated UAVs.
Název v anglickém jazyce
Deployment of Multi-agent Algorithms for Tactical Operations on UAV Hardware
Popis výsledku anglicky
Small Unmanned Aerial Vehicles (UAVs) are becoming increasingly popular for tasks such as surveillance or target tracking in various types of tactical missions. Traditionally, each UAV in a mission is controlled by one or more operators. In our previouswork we have developed a collection of distributed algorithms that allow one operator to control a whole team of small UAVs. Here, we report on our successful effort to deploy the developed multi-agent control algorithms to a team of hardware UAVs. To reduce costs and risk, we first developed the multi-agent control algorithms using simulated approximation of the target environment. Then, we gradually refined the model of the target environment by adding higher-fidelity models of the assets and hardware-in-the loop assets. In the final step, the algorithms were deployed and field tested in a full hardware setting and in a mixed-reality setting, where hardware UAVs are accompanied by a a number of simulated UAVs.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
JD - Využití počítačů, robotika a její aplikace
OECD FORD obor
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Návaznosti výsledku
Projekt
Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2013
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů