Ocean gliders and other unmanned underwater vehicles play an increasingly important role for the U.S. Navy as a source of targeted environmental measurements. Glider pilots adjust navigation instructions for each platform in response to changing array distribution and local ocean conditions. Automated guidance for glider missions enables more effective use of growing numbers of ocean gliders without overtaxing limited human resources. NRL-developed systems to optimize glider placement and sampling direction initiated under the Office of Naval Research (ONR) Glider Observation Strategies (GOST) project have been transitioned to the Naval Oceanographic Office (NAVOCEANO). GOST is an autonomous system that develops preferred deployment and navigation plans for glider networks. GOST uses a genetic algorithm (GA)1 that sorts through potential waypoints to identify glider paths that achieve optimal coverage. Under this approach, the relative merit of alternate pathsets are calculated using mission-appropriate cost functions that combine geographic coverage, forecast uncertainty, and environmental variability. Feedback from GOST-directed gliders into ocean models demonstrated improved ocean forecast skill in two NATO exercises, REP10 and Proud Manta 11. NAVOCEANO will conduct operational tests of the GOST system during the Navy's Trident Warrior 13 exercise.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Maximizing Effectiveness of Autonomous Underwater Vehicles


    Contributors:
    L. F. Smedstad (author) / C. N. Barron (author) / K. D. Heaney (author) / G. Peggion (author) / E. M. Coelho (author)

    Publication date :

    2013


    Size :

    4 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




    Autonomous Underwater Vehicles

    Cruz, Nuno A. | TIBKAT | 2011

    Free access

    Autonomous underwater vehicles

    MCENTEE JARLATH / HAYES NATHANIAL / FIREBAUGH MILLARD | European Patent Office | 2024

    Free access

    AUTONOMOUS UNDERWATER VEHICLES

    MCENTEE JARLATH / HAYES NATHANIAL / FIREBAUGH MILLARD | European Patent Office | 2020

    Free access

    Autonomous Underwater Vehicles

    Cruz, Nuno A. | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 2011

    Free access

    AUTONOMOUS UNMANNED UNDERWATER VEHICLES

    LICHTER HARRY J / BAKER WAYNE A / SYLVIA RUSSELL M et al. | European Patent Office | 2017

    Free access