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

Artificial intelligence is applied to many fields and contributes to many important applications
and research areas, such as intelligent data processing, natural language processing …

In this work data-driven image processing options for a CubeSat mission around a binary
asteroid system are investigated. The methods considered belong to two main branches of …

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 …

In recent years, space debris has become a threat for satellites operating in low Earth orbit.
Even by applying mitigation guidelines, their number will still increase over the course of the …

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 …

This paper investigates the end-to-end human-Mars entry, powered-descent, and landing
(EDL) guidance problem by develo** an on-board learning-based optimal control method …

In this investigation, the integrated attitude and landing control scheme for quadruped robots
in asteroid landing mission scenario is discussed. Compared with the gravitational field …

The defense against near-Earth asteroids (NEAs) using kinetic impact is faced with various
challenges, including limited maneuverability of the impactor, inaccurate dynamic models …