In this paper, we present new concepts for path planning and cooperative target assignment for unmanned vehicles in
uncertain environments. The approach is inspired by possible cognitive computing architectures used in mammalian
brains for navigation tasks. A dynamic map based on sensor input and a diffusion equation is used to generate paths
around obstacles to targets. Targets are assigned to each UAV based on simple priority logic or dynamic competition.
Simulation results for a simple scenario with two UAVs and multiple targets are presented.
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