A method manages a group of Unmanned Aerial Vehicles (UAVs) operable to fly in a formation. Each UAV is programmed with a task to be performed by the UAV. The method is performed in a controller UAV of the group and comprises receiving UAV status information from UAVs in the group, obtaining information on a current formation of the group and combining the received UAV status information with the information on current group formation to form a representation of a first state of the group. A machine learning model is used to predict, based on the first state of the group, an optimal formation transition to a new formation and to instruct the UAVs in the group to perform the predicted optimal formation transition, which is a transition to a formation that will minimise predicted total energy consumption for all UAVs in the group to complete their tasks.
FORMATION FLIGHT OF UNMANNED AERIAL VEHICLES
FORMATIONSFLUG VON UNBEMANNTEN LUFTFAHRZEUGEN
VOL EN FORMATION DE VÉHICULES AÉRIENS SANS PILOTE
10.01.2024
Patent
Elektronische Ressource
Englisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / B64C AEROPLANES , Flugzeuge / G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
Formation flight path coordination of unmanned aerial vehicles
Europäisches Patentamt | 2018
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