A survey on artificial intelligence trends in spacecraft guidance dynamics and control

D Izzo, M Märtens, B Pan - Astrodynamics, 2019 - Springer
The rapid developments of artificial intelligence in the last decade are influencing aerospace
engineering to a great extent and research in this context is proliferating. We share our …

Deep learning-based spacecraft relative navigation methods: A survey

J Song, D Rondao, N Aouf - Acta Astronautica, 2022 - Elsevier
Autonomous spacecraft relative navigation technology has been planned for and applied to
many famous space missions. The development of on-board electronics systems has …

Reinforcement learning for robust trajectory design of interplanetary missions

A Zavoli, L Federici - Journal of Guidance, Control, and Dynamics, 2021 - arc.aiaa.org
This paper investigates the use of reinforcement learning for the robust design of low-thrust
interplanetary trajectories in presence of severe uncertainties and disturbances, alternately …

Deep learning and artificial neural networks for spacecraft dynamics, navigation and control

S Silvestrini, M Lavagna - Drones, 2022 - mdpi.com
The growing interest in Artificial Intelligence is pervading several domains of technology and
robotics research. Only recently has the space community started to investigate deep …

Using artificial intelligence for space challenges: A survey

A Russo, G Lax - Applied Sciences, 2022 - mdpi.com
Artificial intelligence is applied to many fields and contributes to many important applications
and research areas, such as intelligent data processing, natural language processing …

Deep learning techniques for autonomous spacecraft guidance during proximity operations

L Federici, B Benedikter, A Zavoli - Journal of Spacecraft and Rockets, 2021 - arc.aiaa.org
This paper investigates the use of deep learning techniques for real-time optimal spacecraft
guidance during terminal rendezvous maneuvers, in presence of both operational …

Image-based deep reinforcement meta-learning for autonomous lunar landing

A Scorsoglio, A D'Ambrosio, L Ghilardi… - Journal of Spacecraft …, 2022 - arc.aiaa.org
Future exploration and human missions on large planetary bodies (eg, moon, Mars) will
require advanced guidance navigation and control algorithms for the powered descent …

Optical navigation for Lunar landing based on Convolutional Neural Network crater detector

S Silvestrini, M Piccinin, G Zanotti, A Brandonisio… - Aerospace Science and …, 2022 - Elsevier
Traditional vision-based navigation algorithms are highly affected from non-nominal
conditions, which comprise illumination conditions and environmental uncertainties. Thanks …

Terminal adaptive guidance via reinforcement meta-learning: Applications to autonomous asteroid close-proximity operations

B Gaudet, R Linares, R Furfaro - Acta Astronautica, 2020 - Elsevier
Current practice for asteroid close proximity maneuvers requires extremely accurate
characterization of the environmental dynamics and precise spacecraft positioning prior to …

Deep networks as approximators of optimal low-thrust and multi-impulse cost in multitarget missions

H Li, S Chen, D Izzo, H Baoyin - Acta Astronautica, 2020 - Elsevier
In the design of multitarget interplanetary missions, there are always many options available,
making it often impractical to optimize in detail each transfer trajectory in a preliminary …