Advances in trajectory optimization for space vehicle control
Abstract Space mission design places a premium on cost and operational efficiency. The
search for new science and life beyond Earth calls for spacecraft that can deliver scientific …
search for new science and life beyond Earth calls for spacecraft that can deliver scientific …
Recent advancements in deep learning applications and methods for autonomous navigation: A comprehensive review
AA Golroudbari, MH Sabour - arXiv preprint arXiv:2302.11089, 2023 - arxiv.org
This review article is an attempt to survey all recent AI based techniques used to deal with
major functions in This review paper presents a comprehensive overview of end-to-end …
major functions in This review paper presents a comprehensive overview of end-to-end …
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 …
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 …
Computational missile guidance: A deep reinforcement learning approach
This paper aims to examine the potential of using the emerging deep reinforcement learning
techniques in missile guidance applications. To this end, a Markovian decision process that …
techniques in missile guidance applications. To this end, a Markovian decision process that …
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 …
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 …
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 …
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 …