Dynamic Order Picking Method for Multi-UAV System in Intelligent Warehouse

For the logistics environment, multi-UAV algorithms have been studied for purpose of order picking in warehouses. However, modern adopts static methods that struggle to cope with increasing volumes goods because receive orders a certain period time and pick only those orders. In this paper, by using modified interventionist method dynamic path planning, we aim assign received real-time multi-UAVs warehouse, determine sequence each UAV. The halting correcting strategy is proposed UAVs consideration similarity between UAV’s list A UAV starts ant colony optimization algorithm initially assigned. additional orders, modifies real k-opt-based algorithm. We evaluated changing parameters simulation general warehouse layout. results show not reduces completion compared previous but also travel distance collapsed time.