Machine learning and evolutionary techniques in interplanetary trajectory design

no code implementations • 1 Feb 2018 • Dario Izzo, Christopher Sprague, Dharmesh Tailor

After providing a brief historical overview on the synergies between artificial intelligence research, in the areas of evolutionary computations and machine learning, and the optimal design of interplanetary trajectories, we propose and study the use of deep artificial neural networks to represent, on-board, the optimal guidance profile of an interplanetary mission.

BIG-bench Machine Learning Trajectory Planning