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An Application of Online Learning to Spacecraft Memory Dump Optimization

02/14/2022

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by Tommaso Cesari, et al.

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In this paper, we present a real-world application of online learning with expert advice to the field of Space Operations, testing our theory on real-life data coming from the Copernicus Sentinel-6 satellite. We show that in Spacecraft Memory Dump Optimization, a lightweight Follow-The-Leader algorithm leads to an increase in performance of over 60% when compared to traditional techniques.

Tommaso Cesari
16 publications
Jonathan Pergoli
1 publication
Michele Maestrini
1 publication
Pierluigi Di Lizia
2 publications

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