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Found 9 papers, 2 papers with code
Symbolic Regression for Space Applications: Differentiable Cartesian Genetic Programming Powered by Multi-objective Memetic Algorithms
Interpretable regression models are important for many application domains, as they allow experts to understand relations between variables from sparse data.
The Fellowship of the Dyson Ring: ACT&Friends' Results and Methods for GTOC 11
Dyson spheres are hypothetical megastructures encircling stars in order to harvest most of their energy output.
SPEED+: Next-Generation Dataset for Spacecraft Pose Estimation across Domain Gap
Autonomous vision-based spaceborne navigation is an enabling technology for future on-orbit servicing and space logistics missions.
Satellite Pose Estimation Challenge: Dataset, Competition Design and Results
Reliable pose estimation of uncooperative satellites is a key technology for enabling future on-orbit servicing and debris removal missions.
Super-Resolution of PROBA-V Images Using Convolutional Neural Networks
ESA's PROBA-V Earth observation satellite enables us to monitor our planet at a large scale, studying the interaction between vegetation and climate and provides guidance for important decisions on our common global future.
Neural Network Architecture Search with Differentiable Cartesian Genetic Programming for Regression
The ability to design complex neural network architectures which enable effective training by stochastic gradient descent has been the key for many achievements in the field of deep learning.
Interplanetary Transfers via Deep Representations of the Optimal Policy and/or of the Value Function
A number of applications to interplanetary trajectories have been recently proposed based on deep networks.
A Survey on Artificial Intelligence Trends in Spacecraft Guidance Dynamics and Control
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.
Designing Complex Interplanetary Trajectories for the Global Trajectory Optimization Competitions
The design of interplanetary trajectories often involves a preliminary search for options later refined/assembled into one final trajectory.
Space Physics
