[HTML][HTML] 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 …
[HTML][HTML] 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 …
Data-driven image processing for onboard optical navigation around a binary asteroid
In this work data-driven image processing options for a CubeSat mission around a binary
asteroid system are investigated. The methods considered belong to two main branches of …
asteroid system are investigated. The methods considered belong to two main branches of …
Autonomous closed-loop guidance using reinforcement learning in a low-thrust, multi-body dynamical environment
Onboard autonomy is an essential component in enabling increasingly complex missions
into deep space. In nonlinear dynamical environments, computationally efficient guidance …
into deep space. In nonlinear dynamical environments, computationally efficient guidance …
Deep reinforcement learning for rendezvous guidance with enhanced angles-only observability
H Yuan, D Li - Aerospace Science and Technology, 2022 - Elsevier
This research studies the application of reinforcement learning in spacecraft angles-only
rendezvous guidance in the presence of multiple constraints and uncertainties. To apply a …
rendezvous guidance in the presence of multiple constraints and uncertainties. To apply a …
Meta-reinforcement learning for adaptive spacecraft guidance during finite-thrust rendezvous missions
In this paper, a meta-reinforcement learning approach is investigated to design an adaptive
guidance algorithm capable of carrying out multiple rendezvous space missions …
guidance algorithm capable of carrying out multiple rendezvous space missions …
Relative navigation strategy about unknown and uncooperative targets
In recent years, space debris has become a threat for satellites operating in low Earth orbit.
Even by applying mitigation guidelines, their number will still increase over the course of the …
Even by applying mitigation guidelines, their number will still increase over the course of the …