LUFFY Ai Limited

**Problem** Modern digital fly-by-wire control systems are designed around the aerodynamics and mass properties of each aircraft. Such systems are not robust to variations of those properties (e.g., failure mode or mass distribution of flexible wings). When faced with large deviations, the performance of the flight control system degrades significantly, n...

Luffy AI is developing a novel Adaptive Neural Network systems targeted at embedded robotic and industrial control. Our approach overcomes the "reality gap" that limits the application of the current generation of neural network systems in these sectors. In order to achieve wide acceptance within process industries, the developed technology must be proved...

AI systems have a role to play in making flight control systems safer, more robust and cost-effective. Luffy AI has developed adaptive neural networks that allow real-time onboard learning and adaption. In this project, we will develop and demonstrate through simulation and flight testing an AI flight controller that can adapt to variations in both a dron...

Luffy AI is developing a novel neural network system targeted at embedded robotic and industrial control. Our approach overcomes the "reality gap" that limits the application of the current generation of neural network systems in these sectors. Our first major application, and the focus of this grant project, is the development of a self-learning neural c...