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 …
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 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 …
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 …
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 …
Image-based meta-reinforcement learning for autonomous guidance of an asteroid impactor
This paper focuses on the use of meta-reinforcement learning for the autonomous guidance
of a spacecraft during the terminal phase of an impact mission toward a binary asteroid …
of a spacecraft during the terminal phase of an impact mission toward a binary asteroid …
Optimal Q-laws via reinforcement learning with guaranteed stability
Closed-loop feedback-driven control laws can be used to solve low-thrust many-revolution
trajectory design and guidance problems with minimal computational cost. Lyapunov-based …
trajectory design and guidance problems with minimal computational cost. Lyapunov-based …
Orbital guidance using higher-order state transition tensors
This paper derives the equations necessary to use state transition tensors (STTs) in a
spacecraft guidance problem. The derivation includes all necessary equations up to the …
spacecraft guidance problem. The derivation includes all necessary equations up to the …
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 …
Cascaded deep reinforcement learning-based multi-revolution low-thrust spacecraft orbit-transfer
Transferring an all-electric spacecraft from a launch injection orbit to the geosynchronous
equatorial orbit (GEO) using a low thrust propulsion system presents a significant challenge …
equatorial orbit (GEO) using a low thrust propulsion system presents a significant challenge …