Implemented OSIP ideas — January 2022
ESA's Open Space Innovation Platform (OSIP) seeks novel ideas for new space research activities. Campaigns and Channels invite solutions to specific problems or ideas on more general topics, with those run by Discovery & Preparation, including the Open Discovery Ideas Channel, specifically looking for ideas that could be implemented as system studies, early technology developments, or PhD or postdoc research co-funded by ESA and a university.
Open Discovery Ideas Channel
In January 2022, the following ideas were implemented through the Open Discovery Ideas Channel.
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Trebouxiaceae as novel candidates to survive on Mars
University of Valencia
Read about this public idea in OSIP
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Physical and chemical properties of Mercury's surface through data mining approaches
Observatoire de Paris
A team from the Observatoire de Paris has created a database containing 4.7 million observations of Mercury obtained by the MASCS instrument on board NASA's Messenger spacecraft. This co-funded research project aims to use machine learning techniques to dig through the database and answer two questions: what are the sources and natures of geological processes on Mercury, and how can new laboratory measurements help us understand the spectral variability of Mercury's surface?
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Photonic signal processing to remove all 5G/6G band signals from the water signal
Royal Holloway, University of London
Read about this public idea in OSIP
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OPS-SAT experiments
The following ideas were implemented through the Campaign for new ideas for OPS-SAT experiments.
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Hybrid Online Policy Adaptation Strategy (HOPAS)
Airbus Defence and Space
The systems that control how a spacecraft orientates itself in space are often built to be very robust, as knowledge of the exact stresses they will face in space is not well known during the design phase. But this can limit the satellite’s pointing performance. This study is using data and artificial intelligence to continuously improve pointing performance and surpass these limitations. It will be applied on ESA's OPS-SAT satellite for testing on real flight data.
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An AI-based system for an active tracking of Earth features from OPS-SAT
Adática engineering
In this project, an artificial intelligence 'agent' will be taught how to control OPS-SAT and actively track features on Earth. The system explored in this study will have two core AI-based algorithms, one that processes the information from images taken by OPS-SAT’s optical camera to detect selected features, and a second with control over the satellite’s reaction wheels that decides the optimal sequence of actions to place and keep the feature centred in the images.
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Sustainable hydrogen production
The following idea was implemented through the Campaign for new ideas for sustainable hydrogen production technologies.
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Hydrogen production from immobilised cells in photo-bioreactors
Gruppo Veritas
Read about this public idea in OSIP
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