Speaker
Description
The use of Artificial Intelligence (AI) is of rising interest for both ground space-segment applications despite the associated challenges, like lack of dedicated environment for testing and experimentation and the limited technology demonstrators on-board flying spacecraft.
The advantages of AI capable spacecrafts have been convincingly demonstrated in past missions, where autonomous on-board decision-making has supported ground operators in manners that significantly reduced operational costs and effort all while increasing operations and science uptime. Targeted on-board AI applications have succeeded in automating scheduling, planning, classifying acquired payload data, and detecting events of scientific interest. At the same time, ground based AI applications will allow for an unprecedented level of monitoring, simulating and optimised automated planning in view of the next generation constellation missions of hundreds of spacecraft. This presentation will cover a wide range of AI applications and use cases for both space and ground segments, focusing on the re-distribution of processes and functions between ground and space and a system-level overview of future AI-enabled missions.
