We are escalating the technology readiness of AI technology applied to space safety and sustainability, from concept to adoption in the space sector.
Developing advanced AI technologies for space object behavioural analysis, operations automation, and long-term space sustainability will lay down the foundations of an international virtual institute supporting the development of AI technology for space sustainability in the future.
Our Services
We bring our expertise to multiple sectors, developing the industry's future and redefining what is possible, one project at a time.
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Research & Development
As a global partnership between the UK, USA, Canada and Australia, the Institute on AI for Space Sustainability promotes an innovative ecosystem of research across four distinct themes: Autonomous Operations, Robust and Explainable AI, Space Object Behavioural Analysis and Long-Term Space Sustainability.
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Business Incubation & Acceleration
The Institute offers business help and support to start-ups, spin-offs, and SMEs in the field of AI for space applications. We can provide access to key research, tech and engineering expertise, as well as connections to UK and global networks, research funding and Government support.
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Training & Skills Development
We offer a wide range of accredited online training programs, micro-credentials, workshops, and seminars to help attract and develop UK and international talent as well as upskill people from any background into space safety & sustainability, space entrepreneurship and the use of AI in space
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Consultancy Services
The Institute provides strategic advice and technical analysis to a wide range of government and commercial clients. To meet client needs and de-risk AI space solutions development, we draw on expertise within senior research staff and the wider network of experts within our global membership.
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Collaborations & Partnerships
We facilitate national and global partnerships and collaboration initiatives with universities, government agencies, private companies and other key stakeholders to foster innovation, knowledge exchange and best practices in the use of AI for space safety and sustainability.
The Mission
The Institute on AI for Space Sustainability is supported by the UK Space Agency (UKSA), public and private investments. It brings together stakeholders from academia, industry, and government, with the aim of driving sustainable innovation and promoting responsible practices in the use of AI for space applications.
Our mission is to accelerate the development of AI technologies from early-stage concepts to full-scale adoption in the space sector. The goal of the Institute is to address the pressing challenges facing both Earth and Space by harnessing the power of AI technologies. With the raising number of satellites and ever-increasing space traffic, there is a critical need for effective space traffic management systems to ensure the safety and sustainability of space activities.
The Institute seeks to train new talents within the UK space sector and attract international partners to establish presence in the country for the development and exploitation of technologies of interest.
Research Areas
Autonomous Operations
Autonomous ground and in-orbit operations for space traffic management, conjunction analysis and collision avoidance automation, uncertainty treatment and operation planning, decision support for operations, autonomous navigation for in-orbit servicing
Long-Term Space Sustainability
Analysis of the end-to-end environmental impact of future space systems and the induced risk on existing space as-sets with application to mission design, the definition of regulatory frameworks, the analysis of liability and licensing.
Robust & Explainable AI
Focus on natural language processing for space applications, foundation models, treatment of uncertainty in AI, privacy preserving AI and decentralised data sharing, human-machine interface and decision-making under uncertainty.
Space Object Behavioural Analysis
Combined motion characterisation with motion analysis to understand object intentions and predict future behaviour with application to object cataloguing, manoeuvre patterns analysis and forecasting, and in-orbit servicing.