Nebula Public Library

In applications such as space traffic and disaster response management, there are growing public and private capabilities. Multiple different stakeholders can detect and identify events (space collision predictions, natural disaster definitions). Augmentation of events definitions lead to confusion for local authorities, operators or any users of these information for costly decisions. This project, Space DAO, sets the base infrastructure to agree on consensus mechanisms to reduce confusion and augment trust in key decision making information.

The production process of full-CFRP struts, was before only suitable for low volume production rates (~10 struts/month) and including worker safety critical processes. This approach had to be reviewed and changed to enable production rates >100/month and improve worker safety. The activity focused on the: 

The 'SaaSy ML' project will provide experimenters with on board Machine Learning (ML) functionalities that any app can subscribe to via a Software as a Service (SaaS) app hosted on the Satellite Experimental Processing Platform (SEPP). The ML features provided by the SaaS app will cover both training and prediction operations. The JSAT open-source java library for ML will be re-used thus making accessible over 100 training algorithms onboard a flying mission. Re-using the JSAT library will ensure the development to focus on the idea's novel aspect: a spacecraft SaaS app for in-orbit ML.

In order to enable lunar exploration in a sustainable manner, it is necessary to develop technologies that allow the use of lunar resources in-situ. Additive manufacturing techniques are being studied for in-situ resources utilization on the Moon (e.g.: solar or laser sintering). The results of these studies, presented samples with low mechanical properties due to the formation of defects and cracks within the final product.