The United States Department of Defense seeks to integrate small unmanned aircraft systems (UAS) into infantry squads and develop tactics, techniques, and procedures using unmanned systems. Through an iterative design process consisting of live-fly tactical exercises, this research investigates the teaming of humans with unmanned aerial systems. Exercises involve force on force engagements to encourage the development of tactics and procedures for the future operating environment. Three successful mission tactics for leveraging UAS in missions are defined. In addition to autonomy, teams leverage convolutional and artificial deep neural networks running real time on aerial video feeds to identify and classify combatants and friendly forces.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Autonomous Teammates for Squad Tactics


    Contributors:


    Publication date :

    2020-09-01


    Size :

    462536 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Aircraft Designers and Key Teammates

    Ciminera, Michael V. | AIAA | 2013



    Germany's sell-off squad soldiers on

    British Library Online Contents | 2008



    Should I Trust my Teammates? An experiment in Heuristic Multiagent Reinforcement Learning

    Bianchi, Reinaldo / López de Mántaras, Ramón | BASE | 2009

    Free access