| Reinforcement learning for robust trajectory design of interplanetary missions A Zavoli, L Federici Journal of Guidance, Control, and Dynamics 44 (8), 1440-1453, 2021 | 88 | 2021 |
| 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 | 80 | 2021 |
| 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 | 32 | 2020 |
| A time-dependent TSP formulation for the design of an active debris removal mission using simulated annealing L Federici, A Zavoli, G Colasurdo 2019 AAS/AIAA Astrodynamics Specialist Conference, 2019 | 25 | 2019 |
| Evolutionary optimization of multirendezvous impulsive trajectories L Federici, A Zavoli, G Colasurdo International Journal of Aerospace Engineering 2021 (1), 9921555, 2021 | 24 | 2021 |
| Autonomous guidance for cislunar orbit transfers via reinforcement learning L Federici, A Scorsoglio, A Zavoli, R Furfaro 2021 AAS/AIAA Astrodynamics Specialist Conference, 2021 | 22 | 2021 |
| 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 | 20 | 2022 |
| 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 | 19 | 2022 |
| Preliminary capture trajectory design for europa tomography probe L Federici, A Zavoli, G Colasurdo International Journal of Aerospace Engineering 2018 (1), 6890173, 2018 | 18 | 2018 |
| 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 | 17 | 2021 |
| Integrated optimization of ascent trajectory and srm design of multistage launch vehicles L Federici, A Zavoli, G Colasurdo, L Mancini, A Neri 29th Space Flight Mechanics Meeting, 2019 | 14 | 2019 |
| Reinforcement learning for low-thrust trajectory design of interplanetary missions A Zavoli, L Federici 2020 AAS/AIAA Astrodynamics Specialist Conference, 2020 | 13 | 2020 |
| Image-based meta-reinforcement learning for autonomous terminal guidance of an impactor in a binary asteroid system L Federici, A Scorsoglio, L Ghilardi, A D'Ambrosio, B Benedikter, A Zavoli, ... AIAA Scitech 2022 Forum, 2270, 2022 | 11 | 2022 |
| On the use of A* search for active debris removal mission planning L Federici, A Zavoli, G Colasurdo Journal of Space Safety Engineering 8 (3), 245-255, 2021 | 9 | 2021 |
| Surrogate neural network for rapid flight performance evaluation of hybrid rocket engines A Zavoli, P Maria Zolla, L Federici, M Tindaro Migliorino, D Bianchi Journal of Spacecraft and Rockets 59 (6), 2003-2016, 2022 | 8 | 2022 |
| Impulsive multi-rendezvous trajectory design an optimization L Federici, A Zavoli, G Colasurdo 8th European Conference for Aeronautics and Space Sciences (EUCASS), Madrid …, 2019 | 8 | 2019 |
| Machine learning techniques for flight performance prediction of hybrid rocket engines A Zavoli, PM Zolla, L Federici, MT Migliorino, D Bianchi AIAA Propulsion and Energy 2021 Forum, 3506, 2021 | 7 | 2021 |
| Analysis of 3GM Callisto Gravity Experiment of the JUICE Mission M Di Benedetto, P Cappuccio, S Molli, L Federici, A Zavoli 2020 AAS/AIAA Astrodynamics Specialist Conference, 2020 | 7 | 2020 |
| Meta-reinforcement learning for adaptive spacecraft guidance during multi-target missions L Federici, A Scorsoglio, A Zavoli, R Furfaro INTERNATIONAL ASTRONAUTICAL CONGRESS: IAC PROCEEDINGS 1, 2021 | 6 | 2021 |
| Evolutionary optimization for active debris removal mission planning D Zona, A Zavoli, L Federici, G Avanzini IEEE Access 11, 41019-41033, 2023 | 4 | 2023 |
Alessandro ZavoliResearch Assistant, Sapienza Università di Roma在 uniroma1.it 的电子邮件经过验证
