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Cognition - distributed data processing system for lunar activities

Lunar exploration has only started within the last few decades, and interest is continuing to grow. Space agencies and private investors are looking at the opportunities that it brings and see more commercial interest in it. According to a Euroconsult study, 51 missions to the Moon are planned in 2020–2029, compared to just seven in the previous decade, allowing us to better explore Earth's natural satellite and prepare for long-term lunar exploration and, in the future, deep space.

Poland

EISI_I-2022-00375

KP Labs
Artificial Intelligence for Terrain relative Navigation in Unknown Environment (ATENA)

Space missions benefit greatly by the capability of the on-board GNC system to adapt rapidly to unknown environment. Autonomous vision-based navigation is a particular technology under implementation in several ESA missions. One of the most interesting applications in that field is the proximity operations around a small asteroid, like those in HERA.
The goal of this activity was to develop a navigation algorithm with the capability to fly over an unknown terrain and achieve better navigation performances than current vision-based techniques based on unknown feature tracking.

Spain

20-D-O-TEC-01

GMV
Real-time optimal control of quadrocopters using deep representations of the optimal state feedback

A major challenge in the field of control is to achieve reliable, aggressive, high-speed control of autonomous vehicles. In space, this may involve spacecraft that need to land under harsh conditions, or even – in an extreme scenario – negotiating asteroid debris fields at high speeds. On Earth, the exemplar task that draws most attention currently is high-speed autonomous flight of drones. The application of optimal control on board limited platforms has been severely hindered by the large computational requirements of current state-of-the-art implementations.

The Netherlands

18-8510

TU DELFT

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