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Richard Linares
Richard Linares
Associate Professor, Dept. of Aeronautics & Astronautics, MIT
Bestätigte E-Mail-Adresse bei mit.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
2232020
Adaptive guidance and integrated navigation with reinforcement meta-learning
B Gaudet, R Linares, R Furfaro
Acta Astronautica 169, 180-190, 2020
167*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
1272014
Reinforcement learning for angle-only intercept guidance of maneuvering targets
B Gaudet, R Furfaro, R Linares
Aerospace Science and Technology 99, 105746, 2020
1112020
SPACECRAFT UNCERTAINTY PROPAGATION USING GAUSSIAN MIXTURE MODELS AND POLYNOMIAL CHAOS EXPANSIONS
V Vittaldev, R Linares, RP Russell
972015
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
922018
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
852020
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
842014
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
73*2011
A methodology for reduced order modeling and calibration of the upper atmosphere
PM Mehta, R Linares
Space Weather 15 (10), 1270-1287, 2017
702017
Spacecraft rendezvous guidance in cluttered environments via reinforcement learning
J Broida, R Linares
29th AAS/AIAA Space Flight Mechanics Meeting, 1-15, 2019
672019
Space object classification using deep convolutional neural networks
R Linares, R Furfaro
2016 19th International Conference on Information Fusion (FUSION), 1140-1146, 2016
672016
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
652014
Low-Thrust Optimal Control via Reinforcement Learning
D Miller, R Linares
29th AAS/AIAA Space Flight Mechanics Meeting, Hawaii, USA, 2019
632019
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
582010
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
512018
Dynamic sensor tasking for space situational awareness via reinforcement learning
R Linares, R Furfaro
Advanced Maui Optical and Space Surveillance Technologies Conference, 36, 2016
512016
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
502020
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
502020
Real‐time thermospheric density estimation via two‐line element data assimilation
DJ Gondelach, R Linares
Space Weather 18 (2), e2019SW002356, 2020
482020
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