The successful implementation of machine learning in autonomous rover traverse science requires addressing challenges that range from the analytical technical realm, to the fuzzy, philosophical domain of entrenched belief systems within scientists and mission managers.


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    Titel :

    Machine learning challenges in Mars rover traverse science


    Beteiligte:
    Castano, R. (Autor:in) / Judd, M. (Autor:in) / Anderson, R. C. (Autor:in) / Estlin, T. (Autor:in)

    Kongress:

    2003 ICML Workshop on Machine Learning Technologies for Autonomous Space


    Erscheinungsdatum :

    21.08.2003


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch




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