| Deep reinforcement learning for six degree-of-freedom planetary landing B Gaudet, R Linares, R Furfaro Advances in Space Research 65 (7), 1723-1741, 2020 | 236 | 2020 |
| Adaptive guidance and integrated navigation with reinforcement meta-learning B Gaudet, R Linares, R Furfaro Acta Astronautica 169, 180-190, 2020 | 179* | 2020 |
| Space object shape characterization and tracking using light curve and angles data R Linares, MK Jah, JL Crassidis, CK Nebelecky Journal of Guidance, Control, and Dynamics 37 (1), 13-25, 2014 | 132 | 2014 |
| Reinforcement learning for angle-only intercept guidance of maneuvering targets B Gaudet, R Furfaro, R Linares Aerospace Science and Technology 99, 105746, 2020 | 121 | 2020 |
| SPACECRAFT UNCERTAINTY PROPAGATION USING GAUSSIAN MIXTURE MODELS AND POLYNOMIAL CHAOS EXPANSIONS V Vittaldev, R Linares, RP Russell | 102 | 2015 |
| Deep learning for autonomous lunar landing R Furfaro, I Bloise, M Orlandelli, P Di Lizia, F Topputo, R Linares Advances in the Astronautical Sciences 167, 3285-3306, 2018 | 96 | 2018 |
| 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 | 93 | 2020 |
| Modeling satellite drag coefficients with response surfaces PM Mehta, A Walker, E Lawrence, R Linares, D Higdon, J Koller Advances in Space Research 54 (8), 1590-1607, 2014 | 87 | 2014 |
| Astrometric and photometric data fusion for inactive space object feature estimation R Linares, MK Jah, JL Crassidis, FA Leve, T Kelecy Proceedings of the International Astronautical Federation, 2011 | 76* | 2011 |
| Spacecraft rendezvous guidance in cluttered environments via reinforcement learning J Broida, R Linares 29th AAS/AIAA Space Flight Mechanics Meeting, 1-15, 2019 | 72 | 2019 |
| A methodology for reduced order modeling and calibration of the upper atmosphere PM Mehta, R Linares Space Weather 15 (10), 1270-1287, 2017 | 72 | 2017 |
| Space object classification using deep convolutional neural networks R Linares, R Furfaro 2016 19th International Conference on Information Fusion (FUSION), 1140-1146, 2016 | 68 | 2016 |
| Low-Thrust Optimal Control via Reinforcement Learning D Miller, R Linares 29th AAS/AIAA Space Flight Mechanics Meeting, Hawaii, USA, 2019 | 67 | 2019 |
| Refining space object radiation pressure modeling with bidirectional reflectance distribution functions CJ Wetterer, R Linares, JL Crassidis, TM Kelecy, MK Ziebart, MK Jah, ... Journal of Guidance, Control, and Dynamics 37 (1), 185-196, 2014 | 67 | 2014 |
| Astrometric and photometric data fusion for resident space object orbit, attitude, and shape determination via multiple-model adaptive estimation R Linares, J Crassidis, M Jah, H Kim AIAA Guidance, Navigation, and Control Conference, 8341, 2010 | 62 | 2010 |
| Dynamic sensor tasking for space situational awareness via reinforcement learning R Linares, R Furfaro Advanced Maui Optical and Space Surveillance Technologies Conference, 36, 2016 | 55 | 2016 |
| Guidance for closed-loop transfers using reinforcement learning with application to libration point orbits NB LaFarge, D Miller, KC Howell, R Linares AIAA SciTech 2020 forum, 0458, 2020 | 54 | 2020 |
| A quasi‐physical dynamic reduced order model for thermospheric mass density via hermitian space‐dynamic mode decomposition PM Mehta, R Linares, EK Sutton Space Weather 16 (5), 569-588, 2018 | 54 | 2018 |
| Six degree-of-freedom body-fixed hovering over unmapped asteroids via LIDAR altimetry and reinforcement meta-learning B Gaudet, R Linares, R Furfaro Acta Astronautica 172, 90-99, 2020 | 53 | 2020 |
| Autonomous closed-loop guidance using reinforcement learning in a low-thrust, multi-body dynamical environment NB LaFarge, D Miller, KC Howell, R Linares Acta Astronautica 186, 1-23, 2021 | 51 | 2021 |
Roberto FurfaroProfessor of systems and industrial engineering, aerospace and mechanical engineeringVerified email at email.arizona.edu