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 …

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 …

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 …

This paper presents and analyzes Reinforcement Learning (RL) based approaches to solve
spacecraft control problems. Different application fields are considered, eg, guidance …

This paper investigates the use of deep learning techniques for real-time optimal spacecraft
guidance during terminal rendezvous maneuvers, in presence of both operational …

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 …

Future exploration and human missions on large planetary bodies (eg, moon, Mars) will
require advanced guidance navigation and control algorithms for the powered descent …

Onboard autonomy is an essential component in enabling increasingly complex missions
into deep space. In nonlinear dynamical environments, computationally efficient guidance …

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 …

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 …