Dario Izzo

Orcid: 0000-0002-9846-8423

Affiliations:
  • European Space Agency, Noordwijk, The Netherlands


According to our database1, Dario Izzo authored at least 80 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
End-to-end neural network based optimal quadcopter control.
Robotics Auton. Syst., February, 2024

Closing the Gap Between SGP4 and High-Precision Propagation via Differentiable Programming.
CoRR, 2024

2023
End-to-end Reinforcement Learning for Time-Optimal Quadcopter Flight.
CoRR, 2023

Tracking Particles Ejected From Active Asteroid Bennu With Event-Based Vision.
CoRR, 2023

Small Celestial Body Exploration with CubeSat Swarms.
CoRR, 2023

On the Generation of a Synthetic Event-Based Vision Dataset for Navigation and Landing.
CoRR, 2023

Investigation of the Robustness of Neural Density Fields.
CoRR, 2023

Optimality Principles in Spacecraft Neural Guidance and Control.
CoRR, 2023

Guidance & Control Networks for Time-Optimal Quadcopter Flight.
CoRR, 2023

An Adaptive Control Strategy for Neural Network based Optimal Quadcopter Controllers.
CoRR, 2023

Optimization Challenges at the European Space Agency.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
Selected Trends in Artificial Intelligence for Space Applications.
CoRR, 2022

Neuromorphic Computing and Sensing in Space.
CoRR, 2022

Symbolic Regression for Space Applications: Differentiable Cartesian Genetic Programming Powered by Multi-objective Memetic Algorithms.
CoRR, 2022

The Fellowship of the Dyson Ring: ACT&Friends' Results and Methods for GTOC 11.
CoRR, 2022

Reliable event detection for Taylor methods in astrodynamics.
CoRR, 2022

Neural representation of a time optimal, constant acceleration rendezvous.
CoRR, 2022

Globally Optimal Event-Based Divergence Estimation for Ventral Landing.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
On the Stability Analysis of Deep Neural Network Representations of an Optimal State Feedback.
IEEE Trans. Aerosp. Electron. Syst., 2021

SPEED+: Next Generation Dataset for Spacecraft Pose Estimation across Domain Gap.
CoRR, 2021

Geodesy of irregular small bodies via neural density fields: geodesyNets.
CoRR, 2021

Revisiting high-order Taylor methods for astrodynamics and celestial mechanics.
CoRR, 2021

Event-Based Spacecraft Landing Using Time-To-Contact.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Vision-Based Neural Scene Representations for Spacecraft.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Shadow Neural Radiance Fields for Multi-View Satellite Photogrammetry.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Spot the GEO Satellites: From Dataset to Kelvins SpotGEO Challenge.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Satellite Pose Estimation Challenge: Dataset, Competition Design, and Results.
IEEE Trans. Aerosp. Electron. Syst., 2020

dcgp: Differentiable Cartesian Genetic Programming made easy.
J. Open Source Softw., 2020

A parallel global multiobjective framework for optimization: pagmo.
J. Open Source Softw., 2020

Spacecraft Collision Avoidance Challenge: design and results of a machine learning competition.
CoRR, 2020

Real-Time Optimal Guidance and Control for Interplanetary Transfers Using Deep Networks.
CoRR, 2020

Aggressive Online Control of a Quadrotor via Deep Network Representations of Optimality Principles.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Safe crossover of neural networks through neuron alignment.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

MHACO: a Multi-Objective Hypervolume-Based Ant Colony Optimizer for Space Trajectory Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Learning Dynamic-Objective Policies from a Class of Optimal Trajectories.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Super-Resolution of PROBA-V Images Using Convolutional Neural Networks.
CoRR, 2019

Learning a Family of Optimal State Feedback Controllers.
CoRR, 2019

Learning the optimal state-feedback via supervised imitation learning.
CoRR, 2019

Neural network architecture search with differentiable cartesian genetic programming for regression.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Interplanetary transfers via deep representations of the optimal policy and/or of the value function.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

2018
Space Debris Removal: Learning to Cooperate and the Price of Anarchy.
Frontiers Robotics AI, 2018

A Survey on Artificial Intelligence Trends in Spacecraft Guidance Dynamics and Control.
CoRR, 2018

On the stability analysis of optimal state feedbacks as represented by deep neural models.
CoRR, 2018

Machine learning and evolutionary techniques in interplanetary trajectory design.
CoRR, 2018

2017
Machine Learning of Optimal Low-Thrust Transfers Between Near-Earth Objects.
Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017

Multi-rendezvous Spacecraft Trajectory Optimization with Beam P-ACO.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2017

Differentiable Genetic Programming.
Proceedings of the Genetic Programming - 20th European Conference, 2017

2016
Space Debris Removal: A Game Theoretic Analysis.
Games, 2016

Real-time optimal control via Deep Neural Networks: study on landing problems.
CoRR, 2016

GTOC8: Results and Methods of ESA Advanced Concepts Team and JAXA-ISAS.
CoRR, 2016

Persistent self-supervised learning principle: from stereo to monocular vision for obstacle avoidance.
CoRR, 2016

Learning the optimal state-feedback using deep networks.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Optimal orderings of k-subsets for star identification.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Fast approximators for optimal low-thrust hops between main belt asteroids.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2015
Controlling spacecraft landings with constantly and exponentially decreasing time-to-contact.
IEEE Trans. Aerosp. Electron. Syst., 2015

Interplanetary Trajectory Planning with Monte Carlo Tree Search.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Injection, Saturation and Feedback in Meta-Heuristic Interactions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Novelty Search for Soft Robotic Space Exploration.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

Evolving Solutions to TSP Variants for Active Space Debris Removal.
Proceedings of the Genetic and Evolutionary Computation Conference, 2015

2014
An evolutionary robotics approach for the distributed control of satellite formations.
Evol. Intell., 2014

Self-Adaptive Genotype-Phenotype Maps: Neural Networks as a Meta-Representation.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

Empirical Performance of the Approximation of the Least Hypervolume Contributor.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

PaDe: A Parallel Algorithm Based on the MOEA/D Framework and the Island Model.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

Evolutionary Constrained Optimization for a Jupiter Capture.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

2013
Evolutionary robotics approach to odor source localization.
Neurocomputing, 2013

The asynchronous island model and NSGA-II: study of a new migration operator and its performance.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Search for a grand tour of the jupiter galilean moons.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012
The Generalized Island Model.
Proceedings of the Parallel Architectures and Bioinspired Algorithms, 2012

Tragopogon dubius, Considerations on a Possible Biomimetic Transfer.
Proceedings of the Biomimetic and Biohybrid Systems - First International Conference, 2012

2011
Evolving Autonomous Mars Rovers.
ERCIM News, 2011

2010
On the impact of the migration topology on the Island Model.
Parallel Comput., 2010

A Global Optimisation Toolbox for Massively Parallel Engineering Optimisation
CoRR, 2010

An island-model framework for evolving neuro-controllers for planetary rover control.
Proceedings of the International Joint Conference on Neural Networks, 2010

Implicit retrieval of salient images using Brain Computer Interface.
Proceedings of the International Conference on Image Processing, 2010

Constrained global optimization of low-thrust interplanetary trajectories.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
ALife in the Galapagos: Migration Effects on Neuro-Controller Design.
Proceedings of the Advances in Artificial Life. Darwin Meets von Neumann, 2009

Parallel global optimisation meta-heuristics using an asynchronous island-model.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Lattice Formation in Space for a Swarm of Pico Satellites.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2008

Self-Organizing and Scalable Shape Formation for a Swarm of Pico Satellites.
Proceedings of the NASA/ESA Conference on Adaptive Hardware and Systems, 2008

2007
Search space pruning and global optimisation of multiple gravity assist spacecraft trajectories.
J. Glob. Optim., 2007


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