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09/13/2023
Tracking Particles Ejected From Active Asteroid Bennu With Event-Based Vision
Early detection and tracking of ejecta in the vicinity of small solar sy...
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08/25/2023
Small Celestial Body Exploration with CubeSat Swarms
This work presents a large-scale simulation study investigating the depl...
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08/01/2023
On the Generation of a Synthetic Event-Based Vision Dataset for Navigation and Landing
An event-based camera outputs an event whenever a change in scene bright...
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05/31/2023
Investigation of the Robustness of Neural Density Fields
Recent advances in modeling density distributions, so-called neural dens...
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05/22/2023
Optimality Principles in Spacecraft Neural Guidance and Control
Spacecraft and drones aimed at exploring our solar system are designed t...
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05/04/2023
Guidance Control Networks for Time-Optimal Quadcopter Flight
Reaching fast and autonomous flight requires computationally efficient a...
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04/26/2023
An Adaptive Control Strategy for Neural Network based Optimal Quadcopter Controllers
Developing optimal controllers for aggressive high-speed quadcopter flig...
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12/10/2022
Selected Trends in Artificial Intelligence for Space Applications
The development and adoption of artificial intelligence (AI) technologie...
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12/10/2022
Neuromorphic Computing and Sensing in Space
The term “neuromorphic” refers to systems that are closely resembling th...
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09/27/2022
Globally Optimal Event-Based Divergence Estimation for Ventral Landing
Event sensing is a major component in bio-inspired flight guidance and c...
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06/13/2022
Symbolic Regression for Space Applications: Differentiable Cartesian Genetic Programming Powered by Multi-objective Memetic Algorithms
Interpretable regression models are important for many application domai...
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04/21/2022
Reliable event detection for Taylor methods in astrodynamics
We present a novel approach for the detection of events in systems of or...
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03/29/2022
Neural representation of a time optimal, constant acceleration rendezvous
We train neural models to represent both the optimal policy (i.e. the op...
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10/06/2021
SPEED+: Next Generation Dataset for Spacecraft Pose Estimation across Domain Gap
Autonomous vision-based spaceborne navigation is an enabling technology ...
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05/27/2021
Geodesy of irregular small bodies via neural density fields: geodesyNets
We present a novel approach based on artificial neural networks, so-call...
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05/11/2021
Vision-based Neural Scene Representations for Spacecraft
In advanced mission concepts with high levels of autonomy, spacecraft ne...
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05/03/2021
Revisiting high-order Taylor methods for astrodynamics and celestial mechanics
We present heyoka, a new, modern and general-purpose implementation of T...
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04/20/2021
Shadow Neural Radiance Fields for Multi-view Satellite Photogrammetry
We present a new generic method for shadow-aware multi-view satellite ph...
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08/07/2020
Spacecraft Collision Avoidance Challenge: design and results of a machine learning competition
Spacecraft collision avoidance procedures have become an essential part ...
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03/23/2020
Safe Crossover of Neural Networks Through Neuron Alignment
One of the main and largely unexplored challenges in evolvingthe weights...
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02/20/2020
Real-Time Optimal Guidance and Control for Interplanetary Transfers Using Deep Networks
We consider the Earth-Venus mass-optimal interplanetary transfer of a lo...
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12/15/2019
Aggressive Online Control of a Quadrotor via Deep Network Representations of Optimality Principles
Optimal control holds great potential to improve a variety of robotic ap...
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11/05/2019
Satellite Pose Estimation Challenge: Dataset, Competition Design and Results
Reliable pose estimation of uncooperative satellites is a key technology...
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07/03/2019
Neural Network Architecture Search with Differentiable Cartesian Genetic Programming for Regression
The ability to design complex neural network architectures which enable ...
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07/03/2019
Super-Resolution of PROBA-V Images Using Convolutional Neural Networks
ESA's PROBA-V Earth observation satellite enables us to monitor our plan...
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04/18/2019
Interplanetary Transfers via Deep Representations of the Optimal Policy and/or of the Value Function
A number of applications to interplanetary trajectories have been recent...
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02/27/2019
Learning a Family of Optimal State Feedback Controllers
Solving optimal control problems is well known to be very computationall...
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01/07/2019
Learning the optimal state-feedback via supervised imitation learning
Imitation learning is a control design paradigm that seeks to learn a co...
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12/07/2018
A Survey on Artificial Intelligence Trends in Spacecraft Guidance Dynamics and Control
The rapid developments of Artificial Intelligence in the last decade are...
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12/06/2018
On the stability analysis of optimal state feedbacks as represented by deep neural models
Research has shown how the optimal feedback control of several non linea...
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02/01/2018
Machine learning and evolutionary techniques in interplanetary trajectory design
After providing a brief historical overview on the synergies between art...
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04/03/2017
Multi-rendezvous Spacecraft Trajectory Optimization with Beam P-ACO
The design of spacecraft trajectories for missions visiting multiple cel...
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11/15/2016