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Issue No. 04 - July/August (2007 vol. 22)
ISSN: 1541-1672
pp: 12-19
Amedeo Cesta , Italian National Research Council
Gabriella Cortellessa , Italian National Research Council
Michel Denis , European Space Agency
Alessandro Donati , European Space Agency
Simone Fratini , Italian National Research Council
Angelo Oddi , Italian National Research Council
Nicola Policella , European Space Agency
Erhard Rabenau , European Space Agency
Jonathan Schulster , European Space Agency
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.
INDEX TERMS
artificial intelligence, AI, extraterrestrial exploration, space vehicle communication
CITATION

S. Fratini et al., "Mexar2: AI Solves Mission Planner Problems," in IEEE Intelligent Systems, vol. 22, no. , pp. 12-19, 2007.
doi:10.1109/MIS.2007.75
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