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ORCIDDario Izzo
Person information
- affiliation: European Space Agency, Noordwijk, The Netherlands
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2020 – today
- 2024
[j13]Robin Ferede
, Guido de Croon, Christophe De Wagter, Dario Izzo:
End-to-end neural network based optimal quadcopter control. Robotics Auton. Syst. 172: 104588 (2024)- [j12]Dario Izzo, Emmanuel Blazquez, Robin Ferede, Sebastien Origer, Christophe De Wagter, Guido C. H. E. de Croon:
Optimality principles in spacecraft neural guidance and control. Sci. Robotics 9(91) (2024) - [c40]Max Bannach, Emmanuel Blazquez, Dario Izzo, Giacomo Acciarini, Alexander Hadjiivanov, Gernot Heißel, Rita Mastroianni, Sebastien Origer, Jai Grover, Dominik Dold, Zacharia Rudge:
The Space Optimization Competition: Third Edition. GECCO Companion 2024: 21-22 - [c39]Robin Ferede, Christophe De Wagter, Dario Izzo, Guido C. H. E. de Croon:
End-to-end Reinforcement Learning for Time-Optimal Quadcopter Flight. ICRA 2024: 6172-6177 - [i49]Giacomo Acciarini, Atilim Günes Baydin, Dario Izzo:
Closing the Gap Between SGP4 and High-Precision Propagation via Differentiable Programming. CoRR abs/2402.04830 (2024) - [i48]Sebastien Origer, Dario Izzo:
Closing the gap: Optimizing Guidance and Control Networks through Neural ODEs. CoRR abs/2404.16908 (2024) - [i47]Sebastien Origer, Dario Izzo:
Guidance and Control Networks with Periodic Activation Functions. CoRR abs/2405.18084 (2024) - [i46]Giacomo Acciarini, Laurent Beauregard, Dario Izzo:
Computing low-thrust transfers in the asteroid belt, a comparison between astrodynamical manipulations and a machine learning approach. CoRR abs/2405.18918 (2024) - [i45]Dario Izzo, Giacomo Acciarini, Francesco Biscani:
NeuralODEs for VLEO simulations: Introducing thermoNET for Thermosphere Modeling. CoRR abs/2405.19384 (2024) - [i44]Giacomo Acciarini, Nicola Baresi, David Lloyd, Dario Izzo:
Nonlinear Propagation of Non-Gaussian Uncertainties: Theory and Applications to Spacecraft Trajectory Design. CoRR abs/2408.05384 (2024) - [i43]Giacomo Acciarini, Francesco Biscani, Dario Izzo:
EclipseNETs: a differentiable description of irregular eclipse conditions. CoRR abs/2408.05387 (2024) - [i42]Sebastien Origer, Dario Izzo, Giacomo Acciarini, Francesco Biscani, Rita Mastroianni, Max Bannach, Harry Holt:
Certifying Guidance & Control Networks: Uncertainty Propagation to an Event Manifold. CoRR abs/2410.03729 (2024) - 2023
- [c38]Dario Izzo, Manuel López-Ibáñez:
Optimization Challenges at the European Space Agency. GECCO Companion 2023: 1399-1415 - [i41]Robin Ferede, Guido C. H. E. de Croon, Christophe De Wagter, Dario Izzo:
An Adaptive Control Strategy for Neural Network based Optimal Quadcopter Controllers. CoRR abs/2304.13460 (2023) - [i40]Sebastien Origer, Christophe De Wagter, Robin Ferede, Guido C. H. E. de Croon, Dario Izzo:
Guidance & Control Networks for Time-Optimal Quadcopter Flight. CoRR abs/2305.02705 (2023) - [i39]Dario Izzo, Emmanuel Blazquez, Robin Ferede, Sebastien Origer, Christophe De Wagter, Guido C. H. E. de Croon:
Optimality Principles in Spacecraft Neural Guidance and Control. CoRR abs/2305.13078 (2023) - [i38]Jonas Schuhmacher, Fabio Alexander Gratl, Dario Izzo, Pablo Gómez:
Investigation of the Robustness of Neural Density Fields. CoRR abs/2305.19698 (2023) - [i37]Loïc J. Azzalini, Emmanuel Blazquez, Alexander Hadjiivanov, Gabriele Meoni, Dario Izzo:
On the Generation of a Synthetic Event-Based Vision Dataset for Navigation and Landing. CoRR abs/2308.00394 (2023) - [i36]Emmanuel Blazquez, Dario Izzo, Francesco Biscani, Roger Walker, Franco Perez-Lissi:
Small Celestial Body Exploration with CubeSat Swarms. CoRR abs/2308.13333 (2023) - [i35]Loïc J. Azzalini, Dario Izzo:
Tracking Particles Ejected From Active Asteroid Bennu With Event-Based Vision. CoRR abs/2309.06819 (2023) - [i34]Robin Ferede, Christophe De Wagter, Dario Izzo, Guido C. H. E. de Croon:
End-to-end Reinforcement Learning for Time-Optimal Quadcopter Flight. CoRR abs/2311.16948 (2023) - 2022
- [c37]Sofia McLeod, Gabriele Meoni, Dario Izzo, Anne Mergy, Daqi Liu, Yasir Latif, Ian D. Reid, Tat-Jun Chin:
Globally Optimal Event-Based Divergence Estimation for Ventral Landing. ECCV Workshops (1) 2022: 3-20 - [c36]Dario Izzo, Manuel López-Ibáñez:
Optimization challenges at the european space agency. GECCO Companion 2022: 1542-1553 - [i33]Dario Izzo, Sebastien Origer:
Neural representation of a time optimal, constant acceleration rendezvous. CoRR abs/2203.15490 (2022) - [i32]Francesco Biscani, Dario Izzo:
Reliable event detection for Taylor methods in astrodynamics. CoRR abs/2204.09948 (2022) - [i31]Marcus Märtens, Dario Izzo, Emmanuel Blazquez, Moritz von Looz, Pablo Gómez, Anne Mergy, Giacomo Acciarini, Chit Hong Yam, Javier Hernando Ayuso, Yuri Shimane:
The Fellowship of the Dyson Ring: ACT&Friends' Results and Methods for GTOC 11. CoRR abs/2205.10124 (2022) - [i30]Marcus Märtens, Dario Izzo:
Symbolic Regression for Space Applications: Differentiable Cartesian Genetic Programming Powered by Multi-objective Memetic Algorithms. CoRR abs/2206.06213 (2022) - [i29]Sofia McLeod, Gabriele Meoni, Dario Izzo, Anne Mergy, Daqi Liu, Yasir Latif, Ian D. Reid, Tat-Jun Chin:
Globally Optimal Event-Based Divergence Estimation for Ventral Landing. CoRR abs/2209.13168 (2022) - [i28]Dario Izzo, Alexander Hadjiivanov, Dominik Dold, Gabriele Meoni, Emmanuel Blazquez:
Neuromorphic Computing and Sensing in Space. CoRR abs/2212.05236 (2022) - [i27]Dario Izzo, Gabriele Meoni, Pablo Gómez, Dominik Dold, Alexander Zoechbauer:
Selected Trends in Artificial Intelligence for Space Applications. CoRR abs/2212.06662 (2022) - 2021
- [j11]Dario Izzo, Dharmesh Tailor, Thomas Vasileiou:
On the Stability Analysis of Deep Neural Network Representations of an Optimal State Feedback. IEEE Trans. Aerosp. Electron. Syst. 57(1): 145-154 (2021) - [c35]Dawa Derksen, Dario Izzo:
Shadow Neural Radiance Fields for Multi-View Satellite Photogrammetry. CVPR Workshops 2021: 1152-1161 - [c34]Olaf Sikorski, Dario Izzo, Gabriele Meoni:
Event-Based Spacecraft Landing Using Time-To-Contact. CVPR Workshops 2021: 1941-1950 - [c33]Anne Mergy, Gurvan Lécuyer, Dawa Derksen, Dario Izzo:
Vision-Based Neural Scene Representations for Spacecraft. CVPR Workshops 2021: 2002-2011 - [c32]Bo Chen, Daqi Liu, Tat-Jun Chin, Mark Rutten, Dawa Derksen, Marcus Märtens, Moritz von Looz, Gurvan Lécuyer, Dario Izzo:
Spot the GEO Satellites: From Dataset to Kelvins SpotGEO Challenge. CVPR Workshops 2021: 2086-2094 - [i26]Dawa Derksen, Dario Izzo:
Shadow Neural Radiance Fields for Multi-view Satellite Photogrammetry. CoRR abs/2104.09877 (2021) - [i25]Francesco Biscani, Dario Izzo:
Revisiting high-order Taylor methods for astrodynamics and celestial mechanics. CoRR abs/2105.00800 (2021) - [i24]Anne Mergy, Gurvan Lécuyer, Dawa Derksen, Dario Izzo:
Vision-based Neural Scene Representations for Spacecraft. CoRR abs/2105.06405 (2021) - [i23]Dario Izzo, Pablo Gómez:
Geodesy of irregular small bodies via neural density fields: geodesyNets. CoRR abs/2105.13031 (2021) - [i22]Tae Ha Park, Marcus Märtens, Gurvan Lécuyer, Dario Izzo, Simone D'Amico:
SPEED+: Next Generation Dataset for Spacecraft Pose Estimation across Domain Gap. CoRR abs/2110.03101 (2021) - 2020
- [j10]Dario Izzo, Francesco Biscani:
dcgp: Differentiable Cartesian Genetic Programming made easy. J. Open Source Softw. 5(51): 2290 (2020) - [j9]Francesco Biscani, Dario Izzo:
A parallel global multiobjective framework for optimization: pagmo. J. Open Source Softw. 5(53): 2338 (2020) - [j8]Mate Kisantal, Sumant Sharma, Tae Ha Park, Dario Izzo, Marcus Märtens, Simone D'Amico:
Satellite Pose Estimation Challenge: Dataset, Competition Design, and Results. IEEE Trans. Aerosp. Electron. Syst. 56(5): 4083-4098 (2020) - [c31]Christopher Iliffe Sprague, Dario Izzo, Petter Ögren:
Learning Dynamic-Objective Policies from a Class of Optimal Trajectories. CDC 2020: 597-602 - [c30]Giacomo Acciarini, Dario Izzo, Erwin Mooij:
MHACO: a Multi-Objective Hypervolume-Based Ant Colony Optimizer for Space Trajectory Optimization. CEC 2020: 1-8 - [c29]Thomas Uriot, Dario Izzo:
Safe crossover of neural networks through neuron alignment. GECCO 2020: 435-443 - [c28]Shuo Li, Ekin Öztürk, Christophe De Wagter, Guido C. H. E. de Croon, Dario Izzo:
Aggressive Online Control of a Quadrotor via Deep Network Representations of Optimality Principles. ICRA 2020: 6282-6287 - [i21]Dario Izzo, Ekin Öztürk:
Real-Time Optimal Guidance and Control for Interplanetary Transfers Using Deep Networks. CoRR abs/2002.09063 (2020) - [i20]Thomas Uriot, Dario Izzo:
Safe Crossover of Neural Networks Through Neuron Alignment. CoRR abs/2003.10306 (2020) - [i19]Thomas Uriot, Dario Izzo, Luís F. Simões, Rasit Abay, Nils Einecke, Sven Rebhan, José A. Martinez-Heras, Francesca Letizia, Jan Siminski, Klaus Merz:
Spacecraft Collision Avoidance Challenge: design and results of a machine learning competition. CoRR abs/2008.03069 (2020)
2010 – 2019
- 2019
- [c27]Marcus Märtens, Dario Izzo:
Neural network architecture search with differentiable cartesian genetic programming for regression. GECCO (Companion) 2019: 181-182 - [c26]Dario Izzo, Ekin Öztürk, Marcus Märtens:
Interplanetary transfers via deep representations of the optimal policy and/or of the value function. GECCO (Companion) 2019: 1971-1979 - [i18]Dharmesh Tailor, Dario Izzo:
Learning the optimal state-feedback via supervised imitation learning. CoRR abs/1901.02369 (2019) - [i17]Christopher Iliffe Sprague, Dario Izzo, Petter Ögren:
Learning a Family of Optimal State Feedback Controllers. CoRR abs/1902.10139 (2019) - [i16]Dario Izzo, Ekin Öztürk, Marcus Märtens:
Interplanetary Transfers via Deep Representations of the Optimal Policy and/or of the Value Function. CoRR abs/1904.08809 (2019) - [i15]Marcus Märtens, Dario Izzo, Andrej Krzic, Daniël Cox:
Super-Resolution of PROBA-V Images Using Convolutional Neural Networks. CoRR abs/1907.01821 (2019) - [i14]Marcus Märtens, Dario Izzo:
Neural Network Architecture Search with Differentiable Cartesian Genetic Programming for Regression. CoRR abs/1907.01939 (2019) - [i13]Mate Kisantal, Sumant Sharma, Tae Ha Park, Dario Izzo, Marcus Märtens, Simone D'Amico:
Satellite Pose Estimation Challenge: Dataset, Competition Design and Results. CoRR abs/1911.02050 (2019) - [i12]Shuo Li, Ekin Öztürk, Christophe De Wagter, Guido C. H. E. de Croon, Dario Izzo:
Aggressive Online Control of a Quadrotor via Deep Network Representations of Optimality Principles. CoRR abs/1912.07067 (2019) - 2018
- [j7]Richard Klíma, Daan Bloembergen, Rahul Savani, Karl Tuyls, Alexander Wittig, Andrei Sapera, Dario Izzo:
Space Debris Removal: Learning to Cooperate and the Price of Anarchy. Frontiers Robotics AI 5: 54 (2018) - [i11]Dario Izzo, Christopher Iliffe Sprague, Dharmesh Tailor:
Machine learning and evolutionary techniques in interplanetary trajectory design. CoRR abs/1802.00180 (2018) - [i10]Dario Izzo, Dharmesh Tailor, Thomas Vasileiou:
On the stability analysis of optimal state feedbacks as represented by deep neural models. CoRR abs/1812.02532 (2018) - [i9]Dario Izzo, Marcus Märtens, Binfeng Pan:
A Survey on Artificial Intelligence Trends in Spacecraft Guidance Dynamics and Control. CoRR abs/1812.02948 (2018) - 2017
- [c25]Dario Izzo, Francesco Biscani, Alessio Mereta:
Differentiable Genetic Programming. EuroGP 2017: 35-51 - [c24]Luís F. Simões, Dario Izzo, Evert Haasdijk, A. E. Eiben:
Multi-rendezvous Spacecraft Trajectory Optimization with Beam P-ACO. EvoCOP 2017: 141-156 - [c23]Alessio Mereta, Dario Izzo, Alexander Wittig:
Machine Learning of Optimal Low-Thrust Transfers Between Near-Earth Objects. HAIS 2017: 543-553 - [i8]Luís F. Simões, Dario Izzo, Evert Haasdijk, A. E. Eiben:
Multi-rendezvous Spacecraft Trajectory Optimization with Beam P-ACO. CoRR abs/1704.00702 (2017) - 2016
- [j6]Richard Klíma, Daan Bloembergen, Rahul Savani, Karl Tuyls, Daniel Hennes, Dario Izzo:
Space Debris Removal: A Game Theoretic Analysis. Games 7(3): 20 (2016) - [c22]Richard Klíma, Daan Bloembergen, Rahul Savani, Karl Tuyls, Daniel Hennes, Dario Izzo:
Space Debris Removal: A Game Theoretic Analysis. ECAI 2016: 1658-1659 - [c21]Daniel Hennes, Dario Izzo, Damon Landau:
Fast approximators for optimal low-thrust hops between main belt asteroids. SSCI 2016: 1-7 - [c20]Joerg H. Mueller, Carlos Sánchez-Sánchez, Luís F. Simões, Dario Izzo:
Optimal orderings of k-subsets for star identification. SSCI 2016: 1-8 - [c19]Carlos Sánchez-Sánchez, Dario Izzo, Daniel Hennes:
Learning the optimal state-feedback using deep networks. SSCI 2016: 1-8 - [i7]Dario Izzo, Daniel Hennes, Marcus Märtens, Ingmar Getzner, Krzysztof Nowak, Anna Heffernan, Stefano Campagnola, Chit Hong Yam, Naoya Ozaki, Yoshihide Sugimoto:
GTOC8: Results and Methods of ESA Advanced Concepts Team and JAXA-ISAS. CoRR abs/1602.00849 (2016) - [i6]Kevin van Hecke, Guido de Croon, Laurens van der Maaten, Daniel Hennes, Dario Izzo:
Persistent self-supervised learning principle: from stereo to monocular vision for obstacle avoidance. CoRR abs/1603.08047 (2016) - [i5]Carlos Sánchez-Sánchez, Dario Izzo:
Real-time optimal control via Deep Neural Networks: study on landing problems. CoRR abs/1610.08668 (2016) - [i4]Dario Izzo, Francesco Biscani, Alessio Mereta:
Differentiable Genetic Programming. CoRR abs/1611.04766 (2016) - 2015
- [j5]Guido C. H. E. de Croon, Daniel Alazard, Dario Izzo:
Controlling spacecraft landings with constantly and exponentially decreasing time-to-contact. IEEE Trans. Aerosp. Electron. Syst. 51(2): 1241-1252 (2015) - [c18]Georgios Methenitis, Daniel Hennes, Dario Izzo, Arnoud Visser:
Novelty Search for Soft Robotic Space Exploration. GECCO 2015: 193-200 - [c17]Krzysztof Nowak, Dario Izzo, Daniel Hennes:
Injection, Saturation and Feedback in Meta-Heuristic Interactions. GECCO 2015: 1167-1174 - [c16]Dario Izzo, Ingmar Getzner, Daniel Hennes, Luís Felismino Simões:
Evolving Solutions to TSP Variants for Active Space Debris Removal. GECCO 2015: 1207-1214 - [c15]Daniel Hennes, Dario Izzo:
Interplanetary Trajectory Planning with Monte Carlo Tree Search. IJCAI 2015: 769-775 - 2014
- [j4]Dario Izzo, Luís F. Simões, Guido C. H. E. de Croon:
An evolutionary robotics approach for the distributed control of satellite formations. Evol. Intell. 7(2): 107-118 (2014) - [c14]Luís F. Simões, Dario Izzo, Evert Haasdijk, Ágoston E. Eiben:
Self-Adaptive Genotype-Phenotype Maps: Neural Networks as a Meta-Representation. PPSN 2014: 110-119 - [c13]Jérémie Labroquère, Aurélie Héritier, Annalisa Riccardi, Dario Izzo:
Evolutionary Constrained Optimization for a Jupiter Capture. PPSN 2014: 262-271 - [c12]Krzysztof Nowak, Marcus Märtens, Dario Izzo:
Empirical Performance of the Approximation of the Least Hypervolume Contributor. PPSN 2014: 662-671 - [c11]Andrea Mambrini, Dario Izzo:
PaDe: A Parallel Algorithm Based on the MOEA/D Framework and the Island Model. PPSN 2014: 711-720 - 2013
- [j3]Guido C. H. E. de Croon, L. M. O'Connor, C. Nicol, Dario Izzo:
Evolutionary robotics approach to odor source localization. Neurocomputing 121: 481-497 (2013) - [c10]Marcus Märtens, Dario Izzo:
The asynchronous island model and NSGA-II: study of a new migration operator and its performance. GECCO 2013: 1173-1180 - [c9]Dario Izzo, Luís F. Simões, Marcus Märtens, Guido C. H. E. de Croon, Aurelie Heritier, Chit Hong Yam:
Search for a grand tour of the jupiter galilean moons. GECCO 2013: 1301-1308 - 2012
- [c8]Camilla Pandolfi, Vincent Casseau, Terence Pei Fu, Lionel Jacques, Dario Izzo:
Tragopogon dubius, Considerations on a Possible Biomimetic Transfer. Living Machines 2012: 386-387 - [p1]Dario Izzo, Marek Rucinski, Francesco Biscani:
The Generalized Island Model. Parallel Architectures and Bioinspired Algorithms 2012: 151-169 - 2011
- [i3]Angelo Cangelosi, Christos Ampatzis, Dario Izzo:
Evolving Autonomous Mars Rovers. ERCIM News 2011(84): 22-23 (2011) - 2010
- [j2]Marek Rucinski, Dario Izzo, Francesco Biscani:
On the impact of the migration topology on the Island Model. Parallel Comput. 36(10-11): 555-571 (2010) - [c7]Chit Hong Yam, David Di Lorenzo, Dario Izzo:
Constrained global optimization of low-thrust interplanetary trajectories. IEEE Congress on Evolutionary Computation 2010: 1-7 - [c6]Ashkan Yazdani, Jean-Marc Vesin, Dario Izzo, Christos Ampatzis, Touradj Ebrahimi:
Implicit retrieval of salient images using Brain Computer Interface. ICIP 2010: 3169-3172 - [c5]Martin Peniak, Barry Bentley, Davide Marocco, Angelo Cangelosi, Christos Ampatzis, Dario Izzo, Francesco Biscani:
An island-model framework for evolving neuro-controllers for planetary rover control. IJCNN 2010: 1-8 - [i2]Francesco Biscani, Dario Izzo, Chit Hong Yam:
A Global Optimisation Toolbox for Massively Parallel Engineering Optimisation. CoRR abs/1004.3824 (2010) - [i1]Marek Rucinski, Dario Izzo, Francesco Biscani:
On the Impact of the Migration Topology on the Island Model. CoRR abs/1004.4541 (2010)
2000 – 2009
- 2009
- [c4]Dario Izzo, Marek Rucinski, Christos Ampatzis:
Parallel global optimisation meta-heuristics using an asynchronous island-model. IEEE Congress on Evolutionary Computation 2009: 2301-2308 - [c3]Christos Ampatzis, Dario Izzo, Marek Rucinski, Francesco Biscani:
ALife in the Galapagos: Migration Effects on Neuro-Controller Design. ECAL (1) 2009: 197-204 - 2008
- [c2]Carlo Pinciroli, Mauro Birattari, Elio Tuci, Marco Dorigo, Marco del Rey Zapatero, Tamás Vinkó, Dario Izzo:
Self-Organizing and Scalable Shape Formation for a Swarm of Pico Satellites. AHS 2008: 57-61 - [c1]Carlo Pinciroli, Mauro Birattari, Elio Tuci, Marco Dorigo, Marco del Rey Zapatero, Tamás Vinkó, Dario Izzo:
Lattice Formation in Space for a Swarm of Pico Satellites. ANTS Conference 2008: 347-354 - 2007
- [j1]Dario Izzo, Victor M. Becerra, Darren R. Myatt, Slawomir J. Nasuto, J. Mark Bishop:
Search space pruning and global optimisation of multiple gravity assist spacecraft trajectories. J. Glob. Optim. 38(2): 283-296 (2007)
Coauthor Index
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