Our experts and partners regularly produce research papers, articles, and reports that contribute to the body of knowledge in AI and space sustainability.

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Areas Covered:

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• AI for Autonomous Satellite Operations: We research how AI enables satellites to operate more independently, enhancing efficiency and reducing reliance on ground control through autonomous navigation, real-time decision-making, and fault recovery.

• Machine Learning in Space Object Behavioural Analysis: We develop machine learning models to analyse and predict the behaviour of satellites and debris, improving space situational awareness and aiding collision avoidance for safer operations.

• Long-term Modelling of Space Environment Sustainability: We create models to forecast the future state of the space environment, assessing the impact of current activities on long-term sustainability, including studying space debris proliferation and evaluating mitigation measures.

• Explainable AI in Space Applications: We focus on making AI systems more understandable to humans, ensuring transparent decision-making, building trust in autonomous systems, and helping operators make informed decisions based on AI recommendations.

• Space Traffic Management Using AI: We apply AI to coordinate satellite movements, optimise orbital paths, and reduce collision risks, supporting the development of systems to manage increasing space traffic efficiently and safely.