Lorenzo Federici

Lorenzo was born in Rome, Italy. He earned at Sapienza University of Rome his bachelor's degree in Aerospace Engineering in 2016 and his master's degree in Space and Astronautical Engineering in 2018. At the same university, he completed his Ph.D. in Aeronautical and Space Engineering in 2022. From March to August 2021 he joins the SSEL at The University of Arizona as a visiting scholar. His research interests embrace evolutionary optimization algorithms, graph search methods, and deep learning techniques applied to robust space trajectory design and optimization and autonomous spacecraft guidance, navigation and control. Since November 2022, he is a Postdoctoral Research Associate at the SSEL.

Degrees

• PhD, Aeronautical and Space Engineering, Sapienza University of Rome (2022)
• MSc, Space and Astronautical Engineering, Sapienza University of Rome (2018)
• BSc, Aerospace Engineering, Sapienza University of Rome (2016)

Publications

Journal Articles

• Federici, L., Scorsoglio, A., Ghilardi, L., D’Ambrosio, A., Benedikter, B., Zavoli, A., and Furfaro, R., “Image-Based Meta-Reinforcement Learning for Autonomous Guidance of an Asteroid Impactor,” Journal of Guidance, Control, and Dynamics, Vol. 45, No. 11, 2022, pp. 2013–2028. https://doi.org/10.2514/1.G006832
• Federici, L., Scorsoglio, A., Zavoli, A., and Furfaro, R., “Meta-reinforcement learning for adaptive spacecraft guidance during finite-thrust rendezvous missions,” Acta Astronautica, Vol. 201, 2022, pp. 129–141. https://doi.org/10.1016/j.actaastro.2022.08.047
• Zavoli, A., Maria Zolla, P., Federici, L., Tindaro Migliorino, M., and Bianchi, D., “Surrogate Neural Network for Rapid Flight Performance Evaluation of Hybrid Rocket Engines,” Journal of Spacecraft and Rockets, 2022, pp. 1–14. https://doi.org/10.2514/1.A35369
• Federici, L., Benedikter, B., and Zavoli, A., “Deep Learning Techniques for Autonomous Spacecraft Guidance During Proximity Operations,” Journal of Spacecraft and Rockets, Vol. 58, No. 6, 2021, pp. 1774–1785. https://doi.org/10.2514/1.A35076
• Zavoli, A., and Federici, L., “Reinforcement Learning for Robust Trajectory Design of Interplanetary Missions,” Journal of Guidance, Control, and Dynamics, Vol. 44, No. 8, 2021, pp. 1440–1453.
  https://doi.org/10.2514/1.G005794
• Federici, L., Zavoli, A., and Colasurdo, G., “Evolutionary Optimization of Multirendezvous Impulsive Trajectories,” International Journal of Aerospace Engineering, Vol. 2021, 2021. https://doi.org/10.1155/2021/9921555
• Federici, L., Zavoli, A., and Colasurdo, G., “On the use of A* search for active debris removal mission planning,” Journal of Space Safety Engineering, Vol. 8, No. 3, 2021, pp. 245–255. https://doi.org/10.1016/j.jsse.2021.07.003
• Federici, L., Zavoli, A., Colasurdo, G., Mancini, L., and Neri, A., “Integrated Optimization of First-Stage SRM and Ascent Trajectory of Multistage Launch Vehicles,” Journal of Spacecraft and Rockets, Vol. 58, No. 3, 2021, pp. 786–797. https://doi.org/10.2514/1.A34930
• Federici, L., Zavoli, A., and Colasurdo, G., “Preliminary Capture Trajectory Design for Europa Tomography Probe,” International Journal of Aerospace Engineering, Vol. 2018, 2018. https://doi.org/10.1155/2018/689017

Conference Papers

• Federici, L., Zavoli, A., “Robust Design of Interplanetary Trajectories under Severe Uncertainty via Meta-Reinforcement Learning”, 73rd International Astronautical Congress (IAC), Paris (France), 2022.
• Zona, D., Avanzini, G., Federici, L., and Zavoli, A., “Optimization of Chaser Trajectory for Active Debris Removal Missions”, 73rd International Astronautical Congress (IAC), Paris (France), 2022.
• Federici, L., Zavoli, A., and Furfaro, R., “Comparative Analysis of Reinforcement Learning Algorithms for Robust Interplanetary Trajectory Design”, 2nd International Conference on Applied Intelligence and Informatics 2022 (AII2022), Reggio Calabria (Italy), 2022.
• Federici, L., Scorsoglio, A., Zavoli, A., and Furfaro, R., “Optical 6-DOF Guidance and Navigation of an Asteroid Impactor via Meta-Reinforcement Learning,” 2022 AAS/AIAA Astrodynamics Specialist Conference, Charlotte (NC), USA, 2022.
• Federici, L., Scorsoglio, A., Ghilardi, L., D’Ambrosio, A., Benedikter, B., Zavoli, A., and Furfaro, R., “Image-based Meta-Reinforcement Learning for Autonomous Terminal Guidance of an Impactor in a Binary Asteroid System,” AIAA Scitech 2022 Forum, San Diego (CA), USA, 2022. https://doi.org/10.2514/6.2022-2270
• Federici, L., Scorsoglio, A., Zavoli, A., and Furfaro, R., “Meta-Reinforcement Learning for Adaptive Spacecraft Guidance during Multi-Target Missions,” 72nd International Astronautical Congress (IAC), Dubai (UAE), 2021.
• Zavoli, A., Zolla, P. M., Federici, L., Migliorino, M. T., and Bianchi, D., “Machine Learning Techniques for Flight Performance Prediction of Hybrid Rocket Engines,” AIAA Propulsion and Energy 2021 Forum, 2021. https://doi.org/10.2514/6.2021-3506
• Federici, L., Scorsoglio, A., Zavoli, A., and Furfaro, R., “Autonomous Guidance for Cislunar Orbit Transfers via Reinforcement Learning,” 2021 AAS/AIAA Astrodynamics Specialist Conference, Big Sky, 2021.
• Zona, D., Federici, L., and Zavoli, A., “Preliminary Design of Multi-Chaser Active Debris Removal Missions with Evolutionary Algorithms,” 2021 AAS/AIAA Astrodynamics Specialist Conference, Big Sky, 2021.
• Benedetto, M. D., Cappuccio, P., Molli, S., Federici, L., and Zavoli, A., “Analysis of 3GM Callisto Gravity Experiment of the JUICE Mission,” Advances in the Astronautical Sciences, Vol. 175, 2021, pp. 4965–4978.
• Zavoli, A., and Federici, L., “Reinforcement Learning for Low-Thrust Trajectory Design of Interplanetary Missions,” Advances in the Astronautical Sciences, Vol. 175, 2021, pp. 151–170.
• Federici, L., Benedikter, B., and Zavoli, A., “Machine Learning Techniques for Autonomous Spacecraft Guidance during Proximity Operations,” AIAA Scitech 2021 Forum, 2021, pp. 1–18. https://doi.org/10.2514/6.2021-0668
• Federici, L., Zavoli, A., and Colasurdo, G., “On the use of A* Search for Active Debris Removal Mission Planning,” 71st International Astronautical Congress (IAC), 2020.
• Federici, L., Benedikter, B., and Zavoli, A., “EOS: a parallel, self-adaptive, multi-population evolutionary algorithm for constrained global optimization,” 2020 IEEE Congress on Evolutionary Computation (CEC), 2020, pp. 1–10. https://doi.org/10.1109/CEC48606.2020.9185800
• Federici, L., Zavoli, A., and Colasurdo, G., “A Time-Dependent TSP Formulation for the Design of an Active Debris Removal Mission using Simulated Annealing,” Advances in the Astronautical Sciences, Vol. 171, 2019, pp. 1349–1368.
• Zavoli, A., Federici, L., Benedikter, B., Casalino, L., and Colasurdo, G., “GTOC X: Solution Approach of Team Sapienza-PoliTo,” Advances in the Astronautical Sciences, Vol. 171, 2019b, pp. 3327–3342.
• Federici, L., Zavoli, A., and Colasurdo, G., “Impulsive Multi-Rendezvous Trajectory Design and Optimization,” 8th European Conference for Aeronautics and Space Sciences (EUCASS), Madrid, Spain, 2019.
  https://doi.org/10.13009/EUCASS2019-469
• Federici, L., Zavoli, A., Colasurdo, G., Mancini, L., and Neri, A., “Integrated optimization of ascent trajectory and srm design of multistage launch vehicles,” Advances in the Astronautical Sciences, Vol. 168, 2019, pp. 733–752.