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Article
Open AccessThe OPS-SAT case: A data-centric competition for onboard satellite image classification
While novel artificial intelligence and machine learning techniques are evolving and disrupting established terrestrial technologies at an unprecedented speed, their adaptation onboard satellites is seemingly ...
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Chapter and Conference Paper
Globally Optimal Event-Based Divergence Estimation for Ventral Landing
Event sensing is a major component in bio-inspired flight guidance and control systems. We explore the usage of event cameras for predicting time-to-contact (TTC) with the surface during ventral landing. This ...
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Article
Open AccessGeodesy of irregular small bodies via neural density fields
Asteroids’ and comets’ geodesy is a challenging yet important task for planetary science and spacecraft operations, such as ESA’s Hera mission tasked to look at the aftermath of the recent NASA DART spacecraft...
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Article
Open AccessSpacecraft collision avoidance challenge: Design and results of a machine learning competition
Spacecraft collision avoidance procedures have become an essential part of satellite operations. Complex and constantly updated estimates of the collision risk between orbiting objects inform various operators...
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Article
Message from the Guest Editors of the Special Issue on Applications of Artificial Intelligence in Aerospace Engineering
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Article
Learning the optimal state-feedback via supervised imitation learning
Imitation learning is a control design paradigm that seeks to learn a control policy reproducing demonstrations from expert agents. By substituting expert demonstrations for optimal behaviours, the same paradi...
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Article
Super-resolution of PROBA-V images using convolutional neural networks
European Space Aqency (ESA)’s PROBA-V Earth observation (EO) satellite enables us to monitor our planet at a large scale to study the interaction between vegetation and climate, and provides guidance for impor...
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Article
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. We share our observations on the rece...
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Chapter
Machine Learning and Evolutionary Techniques in Interplanetary Trajectory Design
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 t...
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Article
Target selection for a small low-thrust mission to near-Earth asteroids
The preliminary mission design of spacecraft missions to asteroids often involves, in the early phases, the selection of candidate target asteroids. The final result of such an analysis is a list of asteroids,...
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Chapter and Conference Paper
Machine Learning of Optimal Low-Thrust Transfers Between Near-Earth Objects
During the initial phase of space trajectory planning and optimization, it is common to have to solve large dimensional global optimization problems. In particular continuous low-thrust propulsion is computati...
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Chapter and Conference Paper
Differentiable Genetic Programming
We introduce the use of high order automatic differentiation, implemented via the algebra of truncated Taylor polynomials, in genetic programming. Using the Cartesian Genetic Programming encoding we obtain a h...
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Chapter and Conference Paper
Multi-rendezvous Spacecraft Trajectory Optimization with Beam P-ACO
The design of spacecraft trajectories for missions visiting multiple celestial bodies is here framed as a multi-objective bilevel optimization problem. A comparative study is performed to assess the performanc...
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Chapter
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. It is this broad search that, often being intractable, inspires the ...
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Article
Revisiting Lambert’s problem
The orbital boundary value problem, also known as Lambert problem, is revisited. Building upon Lancaster and Blanchard approach, new relations are revealed and a new variable representing all problem classes, ...
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Article
An evolutionary robotics approach for the distributed control of satellite formations
We propose and study a decentralized formation flying control architecture based on the evolutionary robotic technique. We develop our control architecture for the MIT SPHERES robotic platform on board the I...
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Chapter and Conference Paper
Evolutionary Constrained Optimization for a Jupiter Capture
This investigation considers the optimization of multiple gravity assist capture trajectories in the Jupiter system combining the well known Differential Evolution algorithm with different classes of constrain...
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Chapter and Conference Paper
Empirical Performance of the Approximation of the Least Hypervolume Contributor
A fast computation of the hypervolume has become a crucial component for the quality assessment and the performance of modern multi-objective evolutionary optimization algorithms. Albeit recent improvements, e...
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Chapter and Conference Paper
Self-Adaptive Genotype-Phenotype Maps: Neural Networks as a Meta-Representation
In this work we investigate the usage of feedforward neural networks for defining the genotype-phenotype maps of arbitrary continuous optimization problems. A study is carried out over the neural network param...
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Chapter and Conference Paper
PaDe: A Parallel Algorithm Based on the MOEA/D Framework and the Island Model
We study a coarse grained parallelization scheme (thread based) aimed at solving complex multi-objective problems by means of decomposition. Our scheme is loosely based on the MOEA/D framework. The resulting a...
