The market for remote sensing space-based applications is fundamentally limited by up-and
downlink bandwidth and onboard compute capability for space data handling systems. This …

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

Machine learning, particularly deep learning, is being increasing utilised in space
applications, mirroring the groundbreaking success in many earthbound problems …

In recent years, research in the space community has shown a growing interest in Artificial
Intelligence (AI), mostly driven by systems miniaturization and commercial competition. In …

OPS-SAT is a 3U CubeSat launched on December 18, 2019, it is the first nanosatellite to be
directly owned and operated by the European Space Agency (ESA). The spacecraft is a …

CPU is a powerful, pervasive, and indispensable platform for running deep learning (DL)
workloads in systems ranging from mobile to extreme-end servers. In this article, we present …

The rapidly growing number of space activities is generating numerous space debris, which
greatly threatens the safety of space operations. Therefore, space-based space debris …

This work explores on-board planning for the single spacecraft, multiple ground station Earth-
observing satellite scheduling problem through artificial neural network function …

Driving energy consumption plays a major role in the navigation of mobile robots in
challenging environments, especially if they are left to operate unattended under limited on …

Future planned space telescopes, such as the IR/O/UV Large Telescope, recommended by
Astro2020 will be used to directly image exo-Earths. They will employ high-order wavefront …