A survey on artificial intelligence trends in spacecraft guidance dynamics and control
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 …
engineering to a great extent and research in this context is proliferating. We share our …
Deep learning-based spacecraft relative navigation methods: A survey
Autonomous spacecraft relative navigation technology has been planned for and applied to
many famous space missions. The development of on-board electronics systems has …
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 …
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 …
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 …
and research areas, such as intelligent data processing, natural language processing …
Deep learning techniques for autonomous spacecraft guidance during proximity operations
This paper investigates the use of deep learning techniques for real-time optimal spacecraft
guidance during terminal rendezvous maneuvers, in presence of both operational …
guidance during terminal rendezvous maneuvers, in presence of both operational …
Image-based deep reinforcement meta-learning for autonomous lunar landing
Future exploration and human missions on large planetary bodies (eg, moon, Mars) will
require advanced guidance navigation and control algorithms for the powered descent …
require advanced guidance navigation and control algorithms for the powered descent …
Optical navigation for Lunar landing based on Convolutional Neural Network crater detector
Traditional vision-based navigation algorithms are highly affected from non-nominal
conditions, which comprise illumination conditions and environmental uncertainties. Thanks …
conditions, which comprise illumination conditions and environmental uncertainties. Thanks …
Terminal adaptive guidance via reinforcement meta-learning: Applications to autonomous asteroid close-proximity operations
Current practice for asteroid close proximity maneuvers requires extremely accurate
characterization of the environmental dynamics and precise spacecraft positioning prior to …
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
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 …
making it often impractical to optimize in detail each transfer trajectory in a preliminary …