Remotely Piloted Aircraft Systems (RPAS).
USAL.
The main objective of this project is to research and design new Reinforcement Learning, Deep Learning and Distributed Logging Technologies for the construction of a modular platform for the prediction, simulation and detection of threats in Remotely Piloted Aircraft Systems (RPAS), as well as the generation of flight and mission models for the progressive and adaptive training of pilots.
The main result of the project will be a platform based on a modular and scalable architecture capable of connecting to existing simulator systems, allowing the transfer of RPAS control in a distributed way and on which modular layers will be integrated for the generation of flight models, missions and threats.
