A deep RL agent with a self-adaptive curriculum learns continuous, curvature-constrained coverage paths for fixed-wing UAVs, solving procedurally generated and hand-crafted maps.
uavEE: A modular, power-aware emulation environment for rapid prototyping and testing of UA Vs,
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Continuous World Coverage Path Planning for Fixed-Wing UAVs using Deep Reinforcement Learning
A deep RL agent with a self-adaptive curriculum learns continuous, curvature-constrained coverage paths for fixed-wing UAVs, solving procedurally generated and hand-crafted maps.