This repository includes a reinforcement learning framework for end-to-end type integrated thermal updraft localization and exploitation.

Safety-informed Evolutionary Reinforcement Learning applied to fault-tolerant and robust flight control.

This repository includes a reinforcement learning framework for solving the tactical decision-making problem subject to cross-country soaring (by the example of the competition task of GPS Triangle racing).

The missile knows where it is at all times. It knows this because it knows where it isn't. By subtracting where it is from where it isn't, or where it isn't from where it is (whichever is greater), it obtains a difference, or deviation. The guidance subsystem uses deviations to generate corrective commands.

This repository contains a flight-tested Python implementation of a particle-filter-based multiple thermal updraft estimator that allows autonomous updraft localization and exploitation.

Bachelor thesis on Development of flight control strategies using optical flow