[HTML][HTML] Artificial intelligence for trusted autonomous satellite operations
Abstract Recent advances in Artificial Intelligence (AI) and Cyber-Physical Systems (CPS)
for aerospace applications have brought about new opportunities for the fast-growing …
for aerospace applications have brought about new opportunities for the fast-growing …
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 …
[HTML][HTML] Deep reinforcement learning spacecraft guidance with state uncertainty for autonomous shape reconstruction of uncooperative target
A Brandonisio, L Capra, M Lavagna - Advances in Space Research, 2024 - Elsevier
In recent years, space research has shifted heavily its focus towards enhanced autonomy on-
board spacecrafts for on-orbit servicing activities (OOS). OOS and proximity operations …
board spacecrafts for on-orbit servicing activities (OOS). OOS and proximity operations …
Network architecture and action space analysis for deep reinforcement learning towards spacecraft autonomous guidance
L Capra, A Brandonisio, M Lavagna - Advances in Space Research, 2023 - Elsevier
The growing ferment towards enhanced autonomy on-board spacecrafts is driving the
research of leading space agencies. Concurrently, the rapid developments of Artificial …
research of leading space agencies. Concurrently, the rapid developments of Artificial …
[HTML][HTML] Mission analysis and guidance and control for the SpEye inspection CubeSat
The space community is moving forward with the development of in-orbit servicing and
removal technologies to enable the circular economy in space and improve future space …
removal technologies to enable the circular economy in space and improve future space …
Deep reinforcement learning for autonomous spacecraft inspection using illumination
This paper investigates the problem of on-orbit spacecraft inspection using a single free-
flying deputy spacecraft, equipped with an optical sensor, whose controller is a neural …
flying deputy spacecraft, equipped with an optical sensor, whose controller is a neural …
Space Processor Computation Time Analysis for Reinforcement Learning and Run Time Assurance Control Policies
NP Hamilton, K Dunlap, F Viramontes… - AIAA SCITECH 2025 …, 2025 - arc.aiaa.org
As the number of spacecraft on orbit continues to grow, it is challenging for human operators
to constantly monitor and plan for all missions. Autonomous control methods such as …
to constantly monitor and plan for all missions. Autonomous control methods such as …
Investigating the Impact of Observation Space Design Choices On Training Reinforcement Learning Solutions for Spacecraft Problems
Recent research using Reinforcement Learning (RL) to learn autonomous control for
spacecraft operations has shown great success. However, a recent study showed their …
spacecraft operations has shown great success. However, a recent study showed their …
Safe Spacecraft Inspection via Deep Reinforcement Learning and Discrete Control Barrier Functions
While reinforcement learning (RL) offers high-performance solutions to complex tasks, its
trial-and-error paradigm presents safety concerns when exploring unsafe states may be …
trial-and-error paradigm presents safety concerns when exploring unsafe states may be …
Meta-reinforcement learning for spacecraft proximity operations guidance and control in cislunar space
Innovative lightweight and model-free guidance algorithms are essential to achieve full
autonomy of spacecraft and address future space exploration challenges. In the near future …
autonomy of spacecraft and address future space exploration challenges. In the near future …