Three teams of NASA researchers who have dreamed up potential solutions for pieces of the Unmanned Aircraft Systems (UAS) puzzle have received the nod to officially begin formal feasibility studies of their concepts, the administration said.
The trio of investigations are part of NASA´s Convergent Aeronautics Solutions (CAS) project and are expected to take between 24 and to 30 months to complete.
The studies will explore whether and how it might be possible to:
Build a path toward safe inclusion and certification of autonomous systems in aviation. Autonomous systems, such as self-driving cars and future UAS, rely on learning algorithms that adapt to new goals and environments. The idea is to develop autonomy-enabling algorithms that lay a foundation for establishing justifiable confidence in machine decisions and, ultimately, lead to certification of autonomous systems.
Develop new methods and technologies for a remotely-piloted drone to make sure it´s “fit to fly” before every single flight. The idea is to verify the aircraft is structurally and mechanically sound, and that all its onboard systems have not been damaged or hacked in some way. If it´s not sound, the aircraft will ground itself.
Use quantum computing and communication technology to build a secure and jam-free network capable of accommodating hundreds of thousands of drones flying each day. Because of the manner in which data is organized and processed, quantum computing enables certain computations and communications to be done much more efficiently than a regular computer. For example, quantum computers may be able to solve certain problems in a few days that would take millions of years on the average computer.
The three studies were selected by a team of NASA aeronautics managers, led by recently retired TACP Director Doug Rohn, who made their decisions after hearing proposals offered by the principal investigators.