Seguir
Alessandro Zavoli
Alessandro Zavoli
Research Assistant, Sapienza Università di Roma
Dirección de correo verificada de uniroma1.it - Página principal
Título
Citado por
Citado por
Año
Reinforcement learning for robust trajectory design of interplanetary missions
A Zavoli, L Federici
Journal of Guidance, Control, and Dynamics 44 (8), 1440-1453, 2021
1072021
Deep learning techniques for autonomous spacecraft guidance during proximity operations
L Federici, B Benedikter, A Zavoli
Journal of Spacecraft and Rockets 58 (6), 1774-1785, 2021
802021
Convex approach to three-dimensional launch vehicle ascent trajectory optimization
B Benedikter, A Zavoli, G Colasurdo, S Pizzurro, E Cavallini
Journal of Guidance, Control, and Dynamics 44 (6), 1116-1131, 2021
662021
Tour of Jupiter Galilean moons: Winning solution of GTOC6
G Colasurdo, A Zavoli, A Longo, L Casalino, F Simeoni
Acta Astronautica 102, 190-199, 2014
542014
Convex approach to covariance control with application to stochastic low-thrust trajectory optimization
B Benedikter, A Zavoli, Z Wang, S Pizzurro, E Cavallini
Journal of Guidance, Control, and Dynamics 45 (11), 2061-2075, 2022
412022
Convex optimization of launch vehicle ascent trajectory with heat-flux and splash-down constraints
B Benedikter, A Zavoli, G Colasurdo, S Pizzurro, E Cavallini
Journal of Spacecraft and Rockets 59 (3), 900-915, 2022
382022
EOS: a parallel, self-adaptive, multi-population evolutionary algorithm for constrained global optimization
L Federici, B Benedikter, A Zavoli
2020 IEEE Congress on Evolutionary Computation (CEC), 1-10, 2020
372020
A convex approach to rocket ascent trajectory optimization
B Benedikter, A Zavoli, G Colasurdo
8th European Conference for Aeronautics and Space Sciences (EUCASS), 1-15, 2019
322019
Evolutionary optimization of multirendezvous impulsive trajectories
L Federici, A Zavoli, G Colasurdo
International Journal of Aerospace Engineering 2021 (1), 9921555, 2021
312021
Image-based meta-reinforcement learning for autonomous guidance of an asteroid impactor
L Federici, A Scorsoglio, L Ghilardi, A D’Ambrosio, B Benedikter, A Zavoli, ...
Journal of Guidance, Control, and Dynamics 45 (11), 2013-2028, 2022
292022
A time-dependent tsp formulation for the design of an active debris removal mission using simulated annealing
L Federici, A Zavoli, G Colasurdo
arXiv preprint arXiv:1909.10427, 2019
282019
Meta-reinforcement learning for adaptive spacecraft guidance during finite-thrust rendezvous missions
L Federici, A Scorsoglio, A Zavoli, R Furfaro
Acta Astronautica 201, 129-141, 2022
262022
Spacecraft dynamics under the action of Y-dot magnetic control law
A Zavoli, F Giulietti, G Avanzini, G De Matteis
Acta Astronautica 122, 146-158, 2016
262016
Autonomous guidance for cislunar orbit transfers via reinforcement learning
L Federici, A Scorsoglio, A Zavoli, R Furfaro
AAS/AIAA Astrodynamics Specialist Conference, 2021
232021
Autonomous upper stage guidance using convex optimization and model predictive control
B Benedikter, A Zavoli, G Colasurdo, S Pizzurro, E Cavallini
ASCEND 2020, 4268, 2020
232020
A convex optimization approach for finite-thrust time-constrained cooperative rendezvous
B Benedikter, A Zavoli, G Colasurdo
arXiv preprint arXiv:1909.09443, 2019
232019
Single-axis pointing of an underactuated spacecraft equipped with two reaction wheels
A Zavoli, G De Matteis, F Giulietti, G Avanzini
Journal of Guidance, Control, and Dynamics 40 (6), 1465-1471, 2017
232017
Integrated optimization of first-stage SRM and ascent trajectory of multistage launch vehicles
L Federici, A Zavoli, G Colasurdo, L Mancini, A Neri
Journal of Spacecraft and Rockets 58 (3), 786-797, 2021
212021
Indirect optimization of satellite deployment into a highly elliptic orbit
F Simeoni, L Casalino, A Zavoli, G Colasurdo
International Journal of Aerospace Engineering 2012 (1), 152683, 2012
212012
Preliminary capture trajectory design for europa tomography probe
L Federici, A Zavoli, G Colasurdo
International Journal of Aerospace Engineering 2018 (1), 6890173, 2018
192018
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20