Adaptive guidance and integrated navigation with reinforcement meta-learning
This paper proposes a novel adaptive guidance system developed using reinforcement
meta-learning with a recurrent policy and value function approximator. The use of recurrent …
meta-learning with a recurrent policy and value function approximator. The use of recurrent …
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 …
Adaptive pinpoint and fuel efficient mars landing using reinforcement learning
Future unconstrained and science-driven missions to Mars will require advanced guidance
algorithms that are able to adapt to more demanding mission requirements, eg landing on …
algorithms that are able to adapt to more demanding mission requirements, eg landing on …
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 …
Neural-based predictive control for safe autonomous spacecraft relative maneuvers
S Silvestrini, M Lavagna - Journal of Guidance, Control, and Dynamics, 2021 - arc.aiaa.org
DISTRIBUTED space systems composed of several microsatel-lites flying in formation are
becoming increasingly attractive for the space community. As the number of satellites …
becoming increasingly attractive for the space community. As the number of satellites …
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 …
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 …
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 …
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 …
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 …