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 …
Deep learning and artificial neural networks for spacecraft dynamics, navigation and control
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 …
Deep reinforcement learning for six degree-of-freedom planetary landing
This work develops a deep reinforcement learning based approach for Six Degree-of-
Freedom (DOF) planetary powered descent and landing. Future Mars missions will require …
Freedom (DOF) planetary powered descent and landing. Future Mars missions will require …
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 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 …
Survey of machine learning techniques in spacecraft control design
In this paper, a survey on the machine learning techniques in spacecraft control design is
given. Among the applications of machine learning on the subject are the design of optimal …
given. Among the applications of machine learning on the subject are the design of optimal …
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 …
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-based stable jump control method for asteroid-exploration quadruped robots
Unlike the spherical gravitational field of planets and other large solar system bodies, the
gravitational field of asteroids is irregular and weak. It is challenging for a planetary rover to …
gravitational field of asteroids is irregular and weak. It is challenging for a planetary rover to …
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 …