Mexar2: AI Solves Mission Planner Problems

  • Authors:
  • Amedeo Cesta;Gabriella Cortellessa;Michel Denis;Alessandro Donati;Simone Fratini;Angelo Oddi;Nicola Policella;Erhard Rabenau;Jonathan Schulster

  • Affiliations:
  • Italian National Research Council;Italian National Research Council;European Space Agency;European Space Agency;Italian National Research Council;Italian National Research Council;European Space Agency;European Space Agency;European Space Agency

  • Venue:
  • IEEE Intelligent Systems
  • Year:
  • 2007

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Abstract

Mars-Express is the European Space Agency's first mission to orbit another planet. The mission has a single-pointing system—that is, during regular operations, the space probe points either at Mars to perform payload operations or at Earth to download produced data. The Mars-Express Scheduling Architecture (Mexar2) is an AI-based tool to assist European Space Operations Center mission planners. Since its integration with the Mars-Express mission, Mexar2 has reduced the planning team's workload for generating a feasible downlink plan by half compared to the previous method.