Unmanned Aerial Vehicles (UAVs) are expected to transform logistics, reducing delivery time, costs, and emissions.
This study addresses on-demand delivery using fleets of UAVs.
The UAVs have heterogeneous, unknown energy storage capacities and no knowledge of energy consumption models.
The proposed strategy combines auction-based task allocation with online learning, resulting in improved delivery times and successful order fulfillment.