The field of astronomy has recently benefited from the availability of space telescopes. The Hubble Space Telescope (HST), for instance, despite its problems, provides a unique and valuable view of the universe. However, unlike HST, a telescope need not be in low Earth orbit to escape our thickening atmosphere: it is currently technologically feasible to put a telescope on the moon, and there are excellent reasons for doing this. Either in low Earth orbit or on the moon, a space telescope represents an expensive and sought-after resource. Thus, the planning, scheduling, and control of these telescopes is an important problem that must be seriously studied.


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    Titel :

    Applying artificial intelligence to the control of space telescopes (extended abstract)


    Beteiligte:
    Drummond, Mark (Autor:in) / Swanson, Keith (Autor:in) / Bresina, John (Autor:in) / Philips, Andrew (Autor:in) / Levinson, Rich (Autor:in)

    Kongress:

    International Symposium on Artificial Intelligence, Robotics, and Automation in Space (i-SAIRAS) ; 1992 ; Toulouse, France


    Erscheinungsdatum :

    1992-03-01


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch


    Schlagwörter :



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