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 …
Reinforcement learning in spacecraft control applications: Advances, prospects, and challenges
This paper presents and analyzes Reinforcement Learning (RL) based approaches to solve
spacecraft control problems. Different application fields are considered, eg, guidance …
spacecraft control problems. Different application fields are considered, eg, guidance …
Deep reinforcement learning for spacecraft proximity operations guidance
This paper introduces a guidance strategy for spacecraft proximity operations, which
leverages deep reinforcement learning, a branch of artificial intelligence. This technique …
leverages deep reinforcement learning, a branch of artificial intelligence. This technique …
Run time assured reinforcement learning for safe satellite docking
Reinforcement learning promises high performance in complex tasks as well as low online
storage and computation cost. However, the trial-and-error learning approach of …
storage and computation cost. However, the trial-and-error learning approach of …
Autonomous six-degree-of-freedom spacecraft docking with rotating targets via reinforcement learning
A policy for six-degree-of-freedom docking maneuvers with rotating targets is developed
through reinforcement learning and implemented as a feedback control law. Potential clients …
through reinforcement learning and implemented as a feedback control law. Potential clients …
[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 …
Deep Reinforcement Learning-based policy for autonomous imaging planning of small celestial bodies mapping
M Piccinin, P Lunghi, M Lavagna - Aerospace Science and Technology, 2022 - Elsevier
This paper deals with the problem of mapping unknown small celestial bodies while
autonomously navigating in their proximity with an optical camera. A Deep Reinforcement …
autonomously navigating in their proximity with an optical camera. A Deep Reinforcement …
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 …
Reinforcement learning for uncooperative space objects smart imaging path-planning
A Brandonisio, M Lavagna, D Guzzetti - The Journal of the Astronautical …, 2021 - Springer
Leading space agencies are increasingly investing in the gradual automation of space
missions. In fact, autonomous flight operations may be a key enabler for on-orbit servicing …
missions. In fact, autonomous flight operations may be a key enabler for on-orbit servicing …
Monte carlo tree search methods for the earth-observing satellite scheduling problem
AP Herrmann, H Schaub - Journal of Aerospace Information Systems, 2022 - arc.aiaa.org
This work explores on-board planning for the single spacecraft, multiple ground station Earth-
observing satellite scheduling problem through artificial neural network function …
observing satellite scheduling problem through artificial neural network function …