MAPGEN: mixed-initiative planning and scheduling for the Mars Exploration Rover mission

The Mars Exploration Rover mission is one of NASA's most ambitious science missions to date. Launched in the summer of 2003, each rover carries instruments for conducting remote and in site observations to elucidate the planet's past climate, water activity, and habitability. Science is ME...

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Bibliographic Details
Published in:IEEE intelligent systems 2004-01, Vol.19 (1), p.8-12
Main Authors: Ai-Chang, M., Yglesias, J., Chafin, B.G., Dias, W.C., Maldague, P.F., Bresina, J., Charest, L., Chase, A., Hsu, J.C.-J., Jonsson, A., Kanefsky, B., Morris, P., Kanna Rajan
Format: Article
Language:English
Subjects:
Artificial intelligence
Dictionaries
Drivers
Generators
Graphical user interfaces
Intelligent systems
Laboratories
Mars
Mars exploration
Mars rovers
Missions
NASA
Planets
Propulsion
Scheduling
Science
Sequential scheduling
Space exploration
Spacecraft
Technology planning
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Summary:The Mars Exploration Rover mission is one of NASA's most ambitious science missions to date. Launched in the summer of 2003, each rover carries instruments for conducting remote and in site observations to elucidate the planet's past climate, water activity, and habitability. Science is MER's primary driver, so making best use of the scientific instruments, within the available resources, is a crucial aspect of the mission. To address this criticality, the MER project team selected MAPGEN (mixed initiative activity plan generator) as an activity-planning tool. MAPGEN combines two existing systems, each with a strong heritage: the APGEN activity-planning tool from the Jet Propulsion Laboratory and the Europa planning and scheduling system from NASA Ames Research Center. We discuss the issues arising from combining these tools in this mission's context. MAPGEN is the first AI-based system to control a space platform on another planet's surface.
ISSN:1541-1672
1941-1294
DOI:10.1109/MIS.2004.1265878