Στα πλαίσια του Space Software (software.aerospace.uoa.gr), στις 10 Δεκεμβρίου 15:00 θα λάβουν χώρα δύο προσκεκλημένες διαλέξεις στην αίθουσα Ζ της Πληροφορικής (Πανεπιστημιούπολη).
Advancing Space Software Development: An Introduction to the F' Framework for Satellite Systems - Christoforos Vasilakis (Dept. of Physics Computer Center, University of Athens)
This presentation provides a comprehensive overview of the architectural and development considerations for satellite on-board software (OBSW). Beginning with an introduction to satellite subsystems and the core responsibilities of the on-board computer (OBC), the discussion highlights the critical role of microcontrollers in executing software tasks essential to satellite operations. The focus then shifts to F', an open-source framework developed by NASA's Jet Propulsion Laboratory (JPL), designed to streamline the development and deployment of flight software. By leveraging its modular and reusable components, F' enables efficient implementation of satellite functionalities, including the telemetry, the command handling, the event logging, and the file management. The session concludes with the exploration of a flight software architecture using the F' framework, demonstrating how its structured approach facilitates the development of reliable and scalable OBSW.
From Basics to Orbit: An Introduction to Machine Learning On-Board Spacecraft - Evgenios Tsigkanos (OHB Hellas)
Machine Learning (ML) is transforming how spacecraft operate, enabling them to process data, make decisions, and adapt in real-time without relying on planet-based control. This talk will journey through the evolution of ML applications in space, starting from foundational concepts like regression to advanced methods such as deep learning. By examining practical examples, we will explore how ML is used to optimize spacecraft systems, enhance scientific discovery, and enable autonomous navigation. We will also address the unique challenges of deploying ML in space, including computational constraints, reliability, and adaptability in extreme environments.