Abstract Recent advances in Artificial Intelligence (AI) and Cyber-Physical Systems (CPS)
for aerospace applications have brought about new opportunities for the fast-growing …

Robotic spacecraft enable exploration of our Solar System beyond our human presence.
Although spacecraft have explored every planet in the Solar System, the frontiers of space …

Recent developments in Distributed Satellite Systems (DSS) have undoubtedly increased
mission value due to the ability to reconfigure the spacecraft cluster/formation and …

Recent advances in small, connected and intelligent satellite systems have created a wide
range of opportunities for the adoption of intelligent Distributed Satellite Systems (iDSS) in …

In this paper we revisit techniques for uncertainty estimation within deep neural networks
and consolidate a suite of techniques to enhance their reliability. Our investigation reveals …

Advances in artificial intelligence (AI) and automated robotics will profoundly influence
space operations. By utilising machine learning and deep learning approaches, AI-enabled …

In this article, we propose a recursive orbital elements filter for autonomous control of
Distributed Satellite Systems (DSS) that significantly reduces the variance of relative orbital …

This paper presents an innovative output feedback fault-tolerant Q-learning algorithm that
can be implemented online without relying on explicit system models or fault details. In the …

The exacerbation of wildfires, attributed to the effects of climate change, presents substantial
risks to ecological systems, infrastructure, and human well-being. In the context of the …

This paper presents a novel active fault-tolerant control (FTC) scheme based on
reinforcement learning (RL) for rigid spacecraft operating in challenging conditions with …