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Learning Waypoints and Passage Events for Decentralized Multi-Quadrotor Trajectory Planning
Multi-quadrotor passage planning requires coordinated spatial routes and passage times under vehicle dynamics and actuation constraints. Optimizing these decisions jointly couples temporal allocation, nonlinear motion, and inter-vehicle interactions, creating a computational challenge for local traj
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