Unmanned aerial system path optimization based on machine learning

This invention describes an electronic system that helps drones fly along optimized paths. It works by first gathering information about the wireless signals in an area, like where cell towers are and how strong the signal is, to create a signal quality map. Then, a machine learning program is trained using this map to determine the best movements for the drone at different points along its journey, which the system then uses to guide the drone along a specific path. The claims focus on an electronic device that performs these steps.