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- W2023334408 abstract "We consider a setting where multiple UAVs form a team cooperating to visit multiple targets to collect rewards associated with them. The team objective is to maximize the total reward accumulated over a given time interval. Complicating factors include uncertainties regarding the locations of targets and the effectiveness of collecting rewards, differences among vehicle capabilities, and the fact that rewards are time-varying. We describe a Receding Horizon (RH) control scheme which dynamically assigns vehicles to targets and simultaneously determines associated trajectories. This scheme is based on solving a sequence of optimization problems over a planning horizon and executing them over a shorter action horizon. We also describe a simulated battlespace environment designed to test UAV team missions and to illustrate how the RH scheme can achieve optimal performance with high probability." @default.
- W2023334408 created "2016-06-24" @default.
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- W2023334408 date "2003-09-10" @default.
- W2023334408 modified "2023-10-16" @default.
- W2023334408 title "<title>A receding horizon approach for dynamic UAV mission management</title>" @default.
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- W2023334408 doi "https://doi.org/10.1117/12.498165" @default.
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