Spacecraft

Autonomous and Intelligent Systems for future Space Exploration missions. Artificial Intelligence will be a game changing technology for the space industry. The impending arrival of huge low-Earth orbit (LEO) constellations brings specific challenges, such as operational management of swarms, Earth observation imaging analysis, and dealing with a more congested space environment. For future space exploration missions, AI will be essential in dealing with anomaly detection, data processing, and decision making. All these qualities will provide the necessary and robust capability for future human and robotic exploration in our Solar System and Beyond.
Who is this presentation for?
General public/ Data engineers/Scientists
Prerequisite knowledge:
None
What you'll learn?
Big data/AI features for space missions

Roberto Carlino is an Aerospace Engineer at NASA Ames, currently working as a hardware/flight software engineer for the Astrobee Free-flyers project. Before that, he was working at the Science Processing Operation Center (SPOC) for the mission Transiting Exoplanet Survey Satellite (TESS) (follow-on mission of the Kepler Space Telescope), which is searching for exoplanets around the closest and brightest stars to our Sun. Roberto started at NASA Ames around 4 years ago, working on small flight projects and mission proposals. He got his Bachelor’s degree and Master of Science in Aerospace Engineering at the University of Naples Federico II, in Italy, and Delft University of Technology, in The Netherlands. After that, he got his second Master degree in ‘Space Systems and Services’ from the University of Rome, La Sapienza.