Tomas Navarro, European Space Agency
Tomas Navarro is a Future Projects Engineer at ESA, working on the exploration of advanced mission concepts and systems for future satellite communications. He is also responsible for coordinating Artificial Intelligence activities for SatCom applications. Before joining ESA, he worked in satellite operations and R&D, focusing on optimizing satellite and payload performance through genetic algorithms and machine learning techniques for operational geostationary communication satellites. He is also the co-inventor of an AI-powered space architecture designed to enhance response times in centralized systems. He received a B.Eng. in Telecommunications Engineering with a specialization in electronic systems from the Polytechnic University of Catalonia, followed by an M.Eng. in Telecommunications from the Polytechnic University of Valencia. Currently, he is pursuing a PhD in Artificial Intelligence at the University of Malaga, focused on developing and validating Multi-Agent Systems to enhance spacecraft design and autonomous operations.
Speech Speech: The AI-Driven Future of Space Exploration and Innovation
Abstract: In the coming years, the integration of Artificial Intelligence into space missions and systems will significantly transform the field of space technology and exploration. This keynote presentation will explore the pivotal role of advanced AI models used across all space domains. It will start by showing the key advancements of AI models in enhancing data science analysis and scientific forecasting of cosmic events under challenging conditions, such as handling data under high-noise conditions. Another important role of AI in analysing data science, will for example be attempting to decode the mysteries of the universe, contributing to fundamental astrophysical discoveries.
AI will also be highlighted as an essential tool for intelligent assistants aiding astronauts, enhancing mission resilience and success rates. In robotics, the autonomy provided by AI is crucial for the exploration of other planetary bodies, enabling more sophisticated and robust missions and increasing the rate of success of these complex types of missions.
The discussion will extend to the application of neuromorphic technology in space, emphasizing its benefits for energy efficiency and resilience against space radiation. This technology can improve the operational efficiency in spacecraft while reducing payload mass, making missions more viable and cost-effective.
Finally, the presentation will delve into the impact of generative design on space mission development. By accelerating design processes and optimizing design outcomes, generative design will enable the construction of more efficient spacecraft in significantly less time. This capability is crucial for realizing a new era in space exploration, where larger and more advanced spacecraft open up unprecedented opportunities for discovery and innovation.
