Indoor Path Planning for an Unmanned Aerial Vehicle via Curriculum Learning

This technique offers the advantages of generalization and a fast Unmanned aerial vehicles (UAVs) are being studied convergence speed [42]. In our study, learning was first and used in various fields [1-4]. In the case of a quadcopter performed for a simple path planning to ensure that a [5-8], which is one of the most common types UAV could fly quickly to a goal point in an environment of UAV, its position can be maintained through hovering, without obstacles. After this simple task was learned, the which is not possible with a fixed-wing UAV. Various learning was performed in an environment with obstacles sensors can be mounted on the UAV and the location of to train the UAV to fly to a goal point within a short the UAV can be determined using global navigation satellite time while avoiding obstacles. Such curriculum learning systems (GNSS) [9-13], long-term evolution (LTE) is more efficient than learning a difficult task from the based positioning [14-22], enhanced long-range navigation beginning.