  The rapid developments of Artificial Intelligence in the last decade are
influencing Aerospace Engineering to a great extent and research in this
context is proliferating. We share our observations on the recent developments
in the area of Spacecraft Guidance Dynamics and Control, giving selected
examples on success stories that have been motivated by mission designs. Our
focus is on evolutionary optimisation, tree searches and machine learning,
including deep learning and reinforcement learning as the key technologies and
drivers for current and future research in the field. From a high-level
perspective, we survey various scenarios for which these approaches have been
successfully applied or are under strong scientific investigation. Whenever
possible, we highlight the relations and synergies that can be obtained by
combining different techniques and projects towards future domains for which
newly emerging artificial intelligence techniques are expected to become game
changers.
