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 …

This paper introduces a guidance strategy for spacecraft proximity operations, which
leverages deep reinforcement learning, a branch of artificial intelligence. This technique …

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

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 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 …

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

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 this paper, a meta-reinforcement learning approach is investigated to design an adaptive
guidance algorithm capable of carrying out multiple rendezvous space missions …

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 …