Space Domain
Space domain research encompasses the development and application of technologies and methodologies to address challenges related to space exploration, operations, and safety. Current research focuses heavily on improving satellite data analysis (e.g., using advanced filtering techniques for SAR images and deep learning for anomaly detection in telemetry), enhancing autonomous navigation systems (e.g., through optical navigation pipelines and improved control algorithms), and mitigating the growing problem of space debris (e.g., via deep learning-based image enhancement and collision probability prediction). These advancements are crucial for ensuring the reliability and sustainability of space operations, improving the efficiency of space missions, and advancing our understanding of the space environment.
Papers
Artificial Intelligence and Natural Language Processing and Understanding in Space: A Methodological Framework and Four ESA Case Studies
José Manuel Gómez-Pérez, Andrés García-Silva, Rosemarie Leone, Mirko Albani, Moritz Fontaine, Charles Poncet, Leopold Summerer, Alessandro Donati, Ilaria Roma, Stefano Scaglioni
Generating Quizzes to Support Training on Quality Management and Assurance in Space Science and Engineering
Andrés García-Silva, Cristian Berrío, José Manuel Gómez-Pérez