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Mexar2: AI Solves Mission Planner Problems
July/August 2007 (vol. 22 no. 4)
pp. 12-19
ASCII Text
x 
 
Amedeo Cesta, Gabriella Cortellessa, Michel Denis, Alessandro Donati, Simone Fratini, Angelo Oddi, Nicola Policella, Erhard Rabenau, Jonathan Schulster, "Mexar2: AI Solves Mission Planner Problems," IEEE Intelligent Systems, vol. 22, no. 4, pp. 12-19, July/August, 2007.
 
 
BibTex
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@article{ 10.1109/MIS.2007.75,
author = {Amedeo Cesta and Gabriella Cortellessa and Michel Denis and Alessandro Donati and Simone Fratini and Angelo Oddi and Nicola Policella and Erhard Rabenau and Jonathan Schulster},
title = {Mexar2: AI Solves Mission Planner Problems},
journal ={IEEE Intelligent Systems},
volume = {22},
number = {4},
issn = {1541-1672},
year = {2007},
pages = {12-19},
doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2007.75},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Intelligent Systems
TI - Mexar2: AI Solves Mission Planner Problems
IS - 4
SN - 1541-1672
SP12
EP19
EPD - 12-19
A1 - Amedeo Cesta,
A1 - Gabriella Cortellessa,
A1 - Michel Denis,
A1 - Alessandro Donati,
A1 - Simone Fratini,
A1 - Angelo Oddi,
A1 - Nicola Policella,
A1 - Erhard Rabenau,
A1 - Jonathan Schulster,
PY - 2007
KW - artificial intelligence
KW - AI
KW - extraterrestrial exploration
KW - space vehicle communication
VL - 22
JA - IEEE Intelligent Systems
ER -
 
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
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:
Amedeo Cesta, Gabriella Cortellessa, Michel Denis, Alessandro Donati, Simone Fratini, Angelo Oddi, Nicola Policella, Erhard Rabenau, Jonathan Schulster, "Mexar2: AI Solves Mission Planner Problems," IEEE Intelligent Systems, vol. 22, no. 4, pp. 12-19, July/Aug. 2007, doi:10.1109/MIS.2007.75
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