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  1. Article

    Open Access

    The 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 ...

    Gabriele Meoni, Marcus Märtens, Dawa Derksen, Kenneth See, Toby Lightheart in Astrodynamics (2024)

  2. Article

    Open Access

    Spacecraft 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...

    Thomas Uriot, Dario Izzo, Luís F. Simões, Rasit Abay, Nils Einecke in Astrodynamics (2022)

  3. Article

    Message from the Guest Editors of the Special Issue on Applications of Artificial Intelligence in Aerospace Engineering

    Dario Izzo, Marcus Märtens, Binfeng Pan in Astrodynamics (2019)

  4. No Access

    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...

    Dharmesh Tailor, Dario Izzo in Astrodynamics (2019)

  5. No Access

    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...

    Marcus Märtens, Dario Izzo, Andrej Krzic, Daniël Cox in Astrodynamics (2019)

  6. No Access

    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...

    Dario Izzo, Marcus Märtens, Binfeng Pan in Astrodynamics (2019)

  7. No Access

    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...

    Dario Izzo, Christopher Iliffe Sprague in Modeling and Optimization in Space Enginee… (2019)

  8. No Access

    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,...

    Alessio Mereta, Dario Izzo in Astrodynamics (2018)

  9. No Access

    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, ...

    Dario Izzo in Celestial Mechanics and Dynamical Astronomy (2015)

  10. No Access

    Chapter

    Global Optimization Approaches for Optimal Trajectory Planning

    Optimal trajectory design for interplanetary space missions is an extremely hard problem, mostly because of the very large number of local minimizers that real problems present. Despite the challenges of the t...

    Andrea Cassioli, Dario Izzo in Modeling and Optimization in Space Enginee… (2013)