Biologically-inspired Autonomous Systems for Space Exploration

Informazioni relative al progetto

BASE

ID dell’accordo di sovvenzione: 101103062

DOI

10.3030/101103062

Progetto chiuso

Data della firma CE 13 Luglio 2023

Data di avvio 1 Settembre 2024

Data di completamento 31 Agosto 2026

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 199 440,96

Coordinato da

UNIVERSITAT WIEN
Austria

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (1)

Communication, Dissemination & Exploitation Plan

The plan describes the planned measures to maximize the impact of the project, including the dissemination and exploitation measures that are planned, and the target group(s) addressed. Regarding communication measures and public engagement strategy, the aim is to inform and reach out to society and show the activities performed, and the use and the benefits the project will have for citizens.

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cycle for all data sets that will be collected, processed or generated by the action. It is a document describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved.

Pubblicazioni

Peer reviewed articles (4)

Memristor-based neural network accelerators for space applications: Enhancing performance with temporal averaging and SIRENs

Autori: Zacharia A. Rudge, Dominik Dold, Moritz Fieback, Dario Izzo, Said Hamdioui
Pubblicato in: Acta Astronautica, Numero 238, 2026, ISSN 0094-5765
Editore: Elsevier BV
DOI: 10.48550/ARXIV.2509.04506

Reconfiguration of pivoting cube ensembles under local sensing constraints using geometric deep learning

Autori: Nadezhda Dobreva, Emmanuel Blazquez, Jai Grover, Dario Izzo, Yuzhen Qin, Dominik Dold
Pubblicato in: Astrodynamics, ISSN 2522-0098
Editore: Springer
DOI: 10.48550/ARXIV.2509.03140

Continuous design and reprogramming of Totimorphic structures for space applications

Autori: Dominik Dold, Amy Thomas, Nicole Rosi, Jai Grover, Dario Izzo
Pubblicato in: npj Space Exploration, Numero 2, 2026, ISSN 3059-3700
Editore: Springer Science and Business Media LLC
DOI: 10.48550/ARXIV.2411.15266

The Drosophila Connectome as a Computational Reservoir for Time-Series Prediction

Autori: Leone Costi, Alexander Hadjiivanov, Dominik Dold, Zachary F. Hale, Dario Izzo
Pubblicato in: Biomimetics, Numero 10, 2025, ISSN 2313-7673
Editore: MDPI AG
DOI: 10.3390/BIOMIMETICS10050341

Conference proceedings (1)

Equivalence of approximation by networks of single- and multi-spike neurons

Autori: Dominik Dold, Philipp Christian Petersen
Pubblicato in: 35th International Conference on Artificial Neural Networks, Padua, Italy, September 14–17, 2026, Proceedings
Editore: Springer
DOI: 10.48550/ARXIV.2603.13478