Google Scholar: Sebastien Origer
Holt, H., Origer, S., and Izzo, D., Comparing Behavioural Cloning and Reinforcement Learning for Spacecraft Guidance and Control Networks, 2025. Under review at Journal of Guidance, Control, and Dynamics.
Izzo, D., Origer, S., Acciarini, G., and Biscani, F., High-order expansion of Neural Ordinary Differential Equations flows, 2025. Under review at Science Advances.
Origer, S., and Izzo, D., Closing the gap: Optimizing Guidance and Control Networks through Neural ODEs, International Symposium of Space Flight Dynamics (ISSFD 29th Edition), 2024.
Origer, S., Izzo, D., Acciarini, G., Biscani, F., Mastroianni, R., Bannach, M., and Holt, H., Certifying Guidance & Control Networks: Uncertainty Propagation to an Event Manifold, International Astronautical Congress (IAC), 2024.
Izzo, D., Blazquez, E., Ferede, R., Origer, S., De Wagter, C., and de Croon, G. C., Optimality principles in spacecraft neural guidance and control, Science Robotics, Vol. 9, No.91, 2024, p.eadi6421.
Origer, S., and Izzo, D., Guidance and Control Networks with Periodic Activation Functions, Astrodynamics and SPAICE IAA Conference, 2024..
Bannach, M., Blazquez, E., Izzo, D., Acciarini, G., Hadjiivanov, A., Heissel, G., Mastroianni, R., Origer, S., Grover, J., Dold, D., et al., The Space Optimization Competition: Third Edition, Genetic and Evolutionary Computation Conference, 2024, pp. 21–22.
Origer, S., De Wagter, C., Ferede, R., de Croon, G.C., and Izzo, D., Guidance & control networks for time-optimal quadcopter flight, 2023.
Izzo, D., and Origer, S., Neural representation of a time optimal, constant acceleration rendezvous, Acta Astronautica, Vol. 204, 2023, pp. 510–517.
