The Autonomous Sciencecraft Experiment (ASE) will fly onboard the Air Force TechSat 21 constellation of three spacecraft scheduled for launch in 2006. ASE uses onboard continuous planning, robust task and goal-based execution, model-based mode identification and reconfiguration, and onboard machine learning and pattern recognition to radically increase science return by enabling intelligent downlink selection and autonomous retargeting. In this paper we discuss how these AI technologies are synergistically integrated in a hybrid multi-layer control architecture to enable a virtual spacecraft science agent. Demonstration of these capabilities in a flight environment will open up tremendous new opportunities in planetary science, space physics, and earth science that would be unreachable without this technology.


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    Title :

    The autonomous sciencecraft constellations


    Contributors:
    Sherwood, R. L. (author) / Chien, S. (author) / Castano, R. (author) / Rabideau, G. (author)

    Conference:

    2003 IEEE Aerospace Conference


    Publication date :

    2003-03-08


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English




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