Learning-Accelerated Optimization-based Trajectory Planning for Cooperative Aerial-Ground Handover Missions

Name: Learning-Accelerated Optimization-based Trajectory Planning for Cooperative Aerial-Ground Handover Missions
Uploaded: 2026-10-22T16:55:01.541339+00:00
Duration: 229 s
Description: This work introduces a learning-augmented planning framework to speed up centralized trajectory optimization for cooperative UAV and UGV handover missions. It uses decoupled LSTM networks as a surrogate planner to generate informed starting points, significantly reducing computation time and increasing success rates compared to traditional methods.

This work introduces a learning-augmented planning framework to speed up centralized trajectory optimization for cooperative UAV and UGV handover missions. It uses decoupled LSTM networks as a surrogate planner to generate informed starting points, significantly reducing computation time and increasing success rates compared to traditional methods.

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