NASA's operational use of advanced processor technology in space systems lags behind its commercial development by more than eight years. One of the factors contributing to this is the fact that mission computing requirements are frequency unknown, unstated, misrepresented, or simply not available in a timely manner. NASA must provide clear common requirements to make better use of available technology, to cut development lead time on deployable architectures, and to increase the utilization of new technology. Here, NASA, industry and academic communities are provided with a preliminary set of advanced mission computational processing requirements of automation and robotics (A and R) systems. The results were obtained in an assessment of the computational needs of current projects throughout NASA. The high percent of responses indicated a general need for enhanced computational capabilities beyond the currently available 80386 and 68020 processor technology. Because of the need for faster processors and more memory, 90 percent of the polled automation projects have reduced or will reduce the scope of their implemented capabilities. The requirements are presented with respect to their targeted environment, identifying the applications required, system performance levels necessary to support them, and the degree to which they are met with typical programmatic constraints. Here, appendixes are provided.


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    Titel :

    Computational needs survey of NASA automation and robotics missions. Volume 2: Appendixes


    Beteiligte:

    Erscheinungsdatum :

    1991-05-01


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch


    Schlagwörter :



    NASA Thesaurus / NASA, Preliminary ed. ; 1967: Appendixes

    USA, National Aeronautics and Space Administration | TIBKAT | 1967



    Optics Needs for Future NASA Missions

    Stahl, H. Philip | NTRS | 2003


    Evaluation of human and automation/robotics integration needs for future human exploration missions

    Marquez, Jessica J. / Adelstein, Bernard D. / Ellis, Stephen et al. | IEEE | 2016