Using an Artificial Intelligence Tool to Perform Science Data Downlink Planning as Part of the Mission Planning Activities of Mars Express

Erhard Rabenau, Amedeo Cesta, Angelo Oddi, Alessandro Donati, Thomas Léauté

Poster paper at the Fifth International Workshop on Planning and Scheduling for Space (IWPSS 2006), 2006

Abstract

Solving the science data downlink problem for Mars Express (MEX) has been a challenge. An artificial intelligence (AI) based tool, MEXAR2, has been developed and integrated in the mission planning process that allows the user to quickly and effortlessly generate and analyse a dump plan for any planning period. MEXAR2 is the first AI-based tool in an operational environment on-ground at ESOC and it is the successful implementation of a prototyping study performed before the launch of MEX. The paper explores the challenging requirements levied on the MEX science data downlink, the different solutions for generating a dump plan before implementing MEXAR2. It further describes in detail the interfaces and functions of the software and provides an evaluation of the operational benefits from using the application compared to previous solutions.

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@inproceedings{Rabenau06,
    Address = {Baltimore, USA},
    Author = {Erhard Rabenau and Amedeo Cesta and Angelo Oddi and Alessandro Donati and Thomas L{\'e}aut{\'e}},
    Booktitle = {Proceedings of the Fifth International Workshop on Planning and Scheduling for Space (IWPSS'06)},
    Month = {October~22--25},
    Note = {Poster Paper},
    Title = {Using an Artificial Intelligence Tool to Perform Science Data Downlink Planning as Part of the Mission Planning Activities of {M}ars {E}xpress},
    Url = {http://www.stsci.edu/institute/conference/iwpss/poster-d-rabenau.pdf},
    Year = {2006}
}