As part of the Research Institute for Computing and Information Systems (RICIS) activity, the reinforcement learning techniques developed at Ames Research Center are being applied to proximity and docking operations using the Shuttle and Solar Max satellite simulation. This activity is carried out in the software technology laboratory utilizing the Orbital Operations Simulator (OOS). This interim report provides the status of the project and outlines the future plans.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Application of fuzzy logic-neural network based reinforcement learning to proximity and docking operations


    Contributors:

    Publication date :

    1992-05-04


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English





    Proximity Operations and Docking Sensor Development

    R. T. Howard / T. C. Bryan / L. L. Brewster et al. | NTIS | 2009


    Proximity operations and docking sensor development

    Howard, Richard T. / Bryan, Thomas C. / Brewster, Linda L. et al. | IEEE | 2009


    Proximity Operations and Docking Sensor Development

    Howard, Richard T. / Bryan, Thomas C. / Brewster, Linda L. et al. | NTRS | 2009


    Manually augmented proximity operations and docking control

    VAUGHAN, R. / BERGMANN, E. | AIAA | 1985