| Adaptive generalized ZEM-ZEV feedback guidance for planetary landing via a deep reinforcement learning approach R Furfaro, A Scorsoglio, R Linares, M Massari Acta Astronautica 171, 156-171, 2020 | 96 | 2020 |
| Image-based deep reinforcement meta-learning for autonomous lunar landing A Scorsoglio, A D’Ambrosio, L Ghilardi, B Gaudet, F Curti, R Furfaro Journal of Spacecraft and Rockets 59 (1), 153-165, 2022 | 69 | 2022 |
| Actor-critic reinforcement learning approach to relative motion guidance in near-rectilinear orbit A Scorsoglio, R Furfaro, R Linares, M Massari Advances in the Astronautical Sciences 168, 1737-1756, 2019 | 49 | 2019 |
| Image-based deep reinforcement learning for autonomous lunar landing A Scorsoglio, R Furfaro, R Linares, B Gaudet AIAA Scitech 2020 Forum, 1910, 2020 | 42 | 2020 |
| Low-thrust trajectory design using closed-loop feedback-driven control laws and state-dependent parameters H Holt, R Armellin, A Scorsoglio, R Furfaro AIAA Scitech 2020 Forum, 1694, 2020 | 32 | 2020 |
| 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 | 29 | 2022 |
| Optimal Q-laws via reinforcement learning with guaranteed stability H Holt, R Armellin, N Baresi, Y Hashida, A Turconi, A Scorsoglio, ... Acta astronautica 187, 511-528, 2021 | 29 | 2021 |
| Reinforcement metalearning for interception of maneuvering exoatmospheric targets with parasitic attitude loop B Gaudet, R Furfaro, R Linares, A Scorsoglio Journal of Spacecraft and Rockets 58 (2), 386-399, 2021 | 28 | 2021 |
| 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 | 26 | 2022 |
| Autonomous guidance for cislunar orbit transfers via reinforcement learning L Federici, A Scorsoglio, A Zavoli, R Furfaro AAS/AIAA Astrodynamics Specialist Conference, 2021 | 23 | 2021 |
| Safe Lunar landing via images: A Reinforcement Meta-Learning application to autonomous hazard avoidance and landing A Scorsoglio, A D’Ambrosio, L Ghilardi, R Furfaro, B Gaudet, R Linares, ... Proceedings of the 2020 AAS/AIAA Astrodynamics Specialist Conference …, 2020 | 21 | 2020 |
| Relative motion guidance for near-rectilinear lunar orbits with path constraints via actor-critic reinforcement learning A Scorsoglio, R Furfaro, R Linares, M Massari Advances in Space Research 71 (1), 316-335, 2023 | 16 | 2023 |
| Physics-informed neural networks for closed-loop guidance and control in aerospace systems R Furfaro, A D'Ambrosio, E Schiassi, A Scorsoglio AIAA SCITECH 2022 Forum, 0361, 2022 | 13 | 2022 |
| 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 | 12 | 2022 |
| A physic-informed neural network approach to orbit determination A Scorsoglio, L Ghilardi, R Furfaro The Journal of the Astronautical Sciences 70 (4), 25, 2023 | 11 | 2023 |
| Physics-informed orbit determination for cislunar space applications A Scorsoglio, A D’Ambrosio, L Ghilardi, R Furfaro, V Reddy Proceedings of the Advanced Maui Optical and Space Surveillance (AMOS …, 2023 | 9 | 2023 |
| Image-based lunar landing hazard detection via deep learning L Ghilardi, A D’Ambrosio, A Scorsoglio, R Furfaro, F Curti Proceedings of the 31st AAS/AIAA Space Flight Mechanics Meeting, Virtual, 1-4, 2021 | 8 | 2021 |
| Class of optimal space guidance problems solved via indirect methods and physics-informed neural networks E Schiassi, A D’Ambrosio, A Scorsoglio, R Furfaro, F Curti Proceedings of 31st AAS/AIAA Space Flight Mechanics Meeting, 2021 | 8 | 2021 |
| 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 | 7 | 2021 |
| Image-based optimal powered descent guidance via deep recurrent imitation learning L Ghilardi, A D’ambrosio, A Scorsoglio, R Furfaro, R Linares, F Curti AIAA/AAS Astrodynamics Specialist Conference, 2020 | 7 | 2020 |
Roberto FurfaroProfessor of systems and industrial engineering, aerospace and mechanical engineeringEmail verificata su email.arizona.edu
