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Issue No. 04 - July/August (2007 vol. 22)
ISSN: 1541-1672
pp: 12-19
Simone Fratini , Italian National Research Council
Jonathan Schulster , European Space Agency
Erhard Rabenau , European Space Agency
Alessandro Donati , European Space Agency
Nicola Policella , European Space Agency
Angelo Oddi , Italian National Research Council
Gabriella Cortellessa , Italian National Research Council
Michel Denis , European Space Agency
Amedeo Cesta , Italian National Research Council
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
Simone Fratini, Jonathan Schulster, Erhard Rabenau, Alessandro Donati, Nicola Policella, Angelo Oddi, Gabriella Cortellessa, Michel Denis, Amedeo Cesta, "Mexar2: AI Solves Mission Planner Problems", IEEE Intelligent Systems, vol. 22, no. , pp. 12-19, July/August 2007, doi:10.1109/MIS.2007.75
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