Deep Reinforcement Learning of Collision-Free Flocking Policies for Multiple Fixed-Wing UAVs Using Local Situation Maps

IEEE Transactions on Industrial Informatics(2022)

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摘要
The evolution of artificial intelligence and Internet of Things (IoT) envision a highly integrated artificial IoT (AIoT) network. Flocking and cooperation with multiple unmanned aerial vehicles (UAVs) are expected to play a vital role in industrial AIoT networks. In this article, we formulate the collision-free flocking problem of fixed-wing UAVs as a Markov decision process and solve it in the de...
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关键词
Collision avoidance,Informatics,Internet of Things,Unmanned aerial vehicles,Reinforcement learning,Sensors,Vehicle dynamics
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