TaRDIS
Trustworthy and Resilient Decentralised Intelligence for Edge Systems
The TARDIS project (Trustworthy and Resilient Decentralised Intelligence for Edge Systems) supports the correct and efficient development of applications for swarms and decentralized distributed systems, through a language-independent event-driven programming paradigm, including data management and decentralized machine learning.
GMV leads a use case focused on demonstrating autonomous distributed navigation concepts for LEO satellite constellations using onboard navigation, machine learning for orbit determination, and Inter Satellite Link (ISL) technologies. The goal is to reduce reliance on Ground Stations and GNSS, enabling a resilient, autonomous, and fault-tolerant system.
TARDIS is coordinated by NOVA School of Science and Technology and includes 10 partners from 8 countries.
Funded by the European Union under the grant
agreement ID 101093006. Views and opinions
expressed are however those of the author(s) only
and do not necessarily reflect those of the European
Union or European Health and Digital Executive
Agency. Neither the European Union nor the granting
authority can be held responsible for them.