Completed Engineering Computing & AI

Astraea ll - adm

In plain English

AI plain-English summary

Unmanned aircraft will learn to make their own decisions in the air, sharing control with a human operator only when necessary. The ASTRAEA programme tackles a fundamental barrier to routine drone use: current regulations require special conditions or restricted airspace for every flight. Without a system that can autonomously manage missions, detect faults, and handle emergencies, drones cannot safely share skies with passenger jets. This project builds a "variable autonomy" system that shifts decision-making between machine and human depending on the situation, alongside self-diagnosing health management for the vehicle itself. The technologies are generic, though the demonstration will be airborne, and the programme works directly with the UK Civil Aviation Authority to shape the regulatory framework. If successful, the impact extends beyond drones. The same systems could improve situation awareness for pilots in manned aircraft or potentially enable single-crew operation of large commercial planes. This is not about delivery drones for consumer goods; it is about fundamentally re-engineering how aircraft of any type share decision-making with people, opening airspace that has remained closed to unmanned flight.

View original technical description
ASTRAEA is a unique programme that aims to open up new aerospace markets. The aim is to: Enable the routine use of Unmanned Aircraft Systems (UAS) in all classes of airspace without the need for restrictive or special conditions of operation Develop and demonstrate key technologies and operating procedures required to open up the airspace Support the development of the regulatory framework for this new class of operation Autonomy and Decision Making tackles the intelligence in the vehicle through a qualifiable variable autonomy system that shares decision making for the mission and contingency management with the human operator. This includes autonomous prognostics and health management of the vehicle systems. These technologies are potentially generic in nature although the project application will be airborne. The project includes elements of demonstration and interaction with the CAA regulator. The technologies developed could also find application in manned aircraft. For example, increasing situation awareness for pilots or potentially enabling single crew operation of large aircraft.

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Original classification

Large Project

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