Robust and autonomous machine learning on board a miniature satellite

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The advent of miniature satellites (CubeSats) orbiting in space is a new and exciting frontier. There is an emerging opportunity for CubeSats to use adaptable machine learning models to perform on board analysis and processing of data. This proposal aims to research, develop and deliver state of the art approaches that tackle autonomy and robustness challenges for machine learning within a CubeSat. This will enable machine learning models to operate in the hostile and low resource environment of space. A distinguishing benefit of this project is our plan to deploy and evaluate new machine learning approaches on board a soon to be launched CubeSat, demonstrating Australia’s leadership at an international level.