Implemented OSIP ideas — August 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
![Depiction of the three ideas implemented through the Open Discovery Ideas Channel in August 2022](/var/esa/storage/images/esa_multimedia/images/2022/08/osip_august_2022_ideas_open_discovery_ideas_channel/24434216-1-eng-GB/OSIP_August_2022_ideas_Open_Discovery_Ideas_Channel_article.png)
In August 2022, the following ideas were implemented through the Open Discovery Ideas Channel.
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Imaging at 1–10-microsecond-resolution from a space platform
Technical University of Denmark
During thunderstorms, lightning happens too fast for normal cameras to capture. This early technology development project aims to explore whether a new type of camera – a so-called 'event camera' – could be used by spacecraft to capture lightning and other objects of interest.
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Glide-symmetry inspired design for manufacture and assembly approach applied to communication satellite antenna arrays in E-band
KTH Royal Institute of Technology
Satellite communications systems are rapidly evolving, and current frequency bands offer limited overall capacity. Higher frequency bands are being explored, for example the E band at 71–86 GHz. These higher frequencies come with major technological challenges. This early technology development project will explore the opportunities provided by a technology known as 'glide-symmetric periodic structures' to prove the possibility of producing an efficient and robust beam forming network (BFN) in E band frequencies for future integration into an antenna array.
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Soft annelid-inspired robot with peristaltic gait using self-tolerant artificial muscles and deep learning for planetary exploration
University of Gothenburg
Read more about this public idea in OSIP
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