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Learning-Accelerated Optimization-based Trajectory Planning for Cooperative Aerial-Ground Handover Missions
This paper presents a learning-augmented trajectory planning framework for cooperative unmanned aerial vehicle (UAV) and unmanned ground vehicle (UGV) handover missions. While centralized trajectory optimization ensures dynamic feasibility and task optimality, its high computational cost limits real
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