This research programme represents a strategic collaboration between Luxembourg Institute of Standardisation, Accreditation, Safety, and Quality of Products and Services (ILNAS) and SnT at the University of Luxembourg. This multidisciplinary initiative is aligned with Luxembourg's National Technical Standardisation Strategy 2024-2030 and emphasizes sustainability across various growth sectors for Luxembourg’s economy. The programme includes cutting-edge research activities and promotes active contributions to international standardisation efforts.
The SERENITY project aims to design and develop a brokering system dedicated to space data that brings optimised costs/revenues and QoS by advancing the state of the art in the field of data lakes, HPC, and brokering optimization.
The ADARS (Automating the Design of Autonomous Robot Swarms) project aims to propose a unique approach to automatically generate behaviours for distributed aerospace and space systems (DASS) thanks to a cross-fertilisation between multi-objective optimisation and machine learning techniques. ADARS will demonstrate through specifically designed software simulations and real field tests with multi-rotor drones, that state-of-the-art results can be obtained on two challenging DASS applications: swarm formation for a counter UAV system and swarm formation of small satellites for asteroid observation.
The proposed follow-up ILNAS-SnT research programme 2021-2024 is consciously sector-oriented and targets three highly relevant growth sectors for Luxembourg’s economy, in conformity with the national technical standardization strategy 2020-2030, that will deepen data and AI capabilities and enable a steady potential for innovation. The three sectors are a) ICT, b) Aerospace, and c) Construction. The economic power for these three domains is strongly determined by normative values notably related to trustworthiness, security, and privacy. Consequently, policies, regulations, and standards are required to be established to enhance trust in each particular domain-specific ecosystem