Mexar2: AI Solves Mission Planner Problems

  title={Mexar2: AI Solves Mission Planner Problems},
  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},
  journal={IEEE Intelligent Systems},
Deep-space missions carry an ever larger set of different and complementary onboard payloads. Each payload generates data, and synthesizing it for optimized downlinking is one way to reduce the ratio of mission costs to science return. This is the main role of the Mars-Express scheduling architecture (Mexar2), an Al-based tool in daily use on the Mars-Express mission since February 2005. Mexar2 supports space mission planners continuously as they plan data downlinks from the spacecraft to Earth… 

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