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.
Autonomous Teammates for Squad Tactics
01.09.2020
462536 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Aircraft Designers and Key Teammates
AIAA | 2013
|Germany's sell-off squad soldiers on
British Library Online Contents | 2008
Mechanized Infantry Platoon and Squad (Bradley)
NTIS | 1993
Trusted teammates: Commercial digital games can be effective trust-building tools
BASE | 2019
|Should I Trust my Teammates? An experiment in Heuristic Multiagent Reinforcement Learning
BASE | 2009
|