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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
Inflatable Systems for Aerocapture and Aerobraking

This work has primarily focused on establishing scenarios where inflatable devices could be the most useful. Given that these missions rely on aerodynamic drag that results in (potentially significant) heating, the authors have sought to find solutions to minimize heat fluxes acting on the device surface, and especially keeping it within the limits of flexible/foldable TPS materials for the aerocapture scenario.

Portugal

19-D-S-OPS-02

Spin.Works
LIFELINE

The aim of the LIFELINE project was to perform a feasibility study of a Relativistic Positioning System. Nowadays, all GNSS in operation are based on Newtonian physics and rely on global reference frames fixed to Earth. Relativistic effects are treated as deviations that need to be corrected. A practical RPS would consist, for example, in a constellation of satellites, each one broadcasting not only its General Relativity coordinates (proper times or other observables) at emission but also the coordinates that it receives from the other satellites.

Spain

19-P-O-NAV-03

GMV
Maritime Adaptive GNSS Safety concept (MAGS)

The MAGS project focused on developing a Maritime Adaptive GNSS Safety Concept to support mariners, particularly within the vicinity of ports.

Germany

15/113

DLR
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
Auto-rotation in Martian Descend and landing

The Entry, Descent and Landing System (EDLS) is one of the main system drivers for an interplanetary mission aiming at landing a payload on a planetary surface. The ultimate goal is to land safely the payload onto the planet surface. Towards that end, different constraints must be fulfilled in order to achieve a successful landing.

Spain

2007-34

GMV

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