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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
Meta-Heuristic Algorithms for the Quantum Circuit Compilation Problem

Quantum algorithms process information stored in qubits, the basic memory unit of quantum processors, and quantum operations (called gates) are the building blocks of quantum algorithms. In order to be run on quantum computing hardware, quantum algorithms must be compiled into a set of elementary machine instructions (i.e., quantum gates).

Italy

21-D-A-03

ISTC-CNR
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
Smart Resource Management based on Internet of Things to support Off-Earth Manufacturing of Lunar Infrastructures (SMARTIE)

SMARTIE (Smart Resource Management based on Internet of Things to support Off-Earth Manufacturing of Lunar Infrastructures) is an ESA study to assess the requirements, architecture, hardware and software needs and costs for implementation of an Internet of Manufacturing Things (IoMT) for a lunar human base and associated infrastructure. 

Austria

20-D-S-TEC-03-g

Liquifier Systems Group
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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