Shoot, Move and Communicate - Increasing NSW mission effectiveness through AI/ML augmented unmanned systems

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Authors
Horner, Douglas P.
Advisors
Second Readers
Subjects
unmanned aerial, surface, underwater and ground vehicles
UxV
UxV networked control system
UxV NCS
artificial intelligence
machine learning
unmanned systems
control
wireless communications
networking
human on the loop control
Red Cell analysis
Date of Issue
2021
Date
2021
Publisher
Monterey, California: Naval Postgraduate School
Monterey, California. Naval Postgraduate School.
Language
en_US
Abstract
The combination of unmanned systems and Artificial Intelligence/Machine Learning (AI/ML) provides a methodology to significantly improve NAVSPECWAR (NSW) operations. This proposal focuses on evaluating an augmented, collaborative, unmanned systems architecture as a force multiplier for NSW expeditionary warfare mission objectives. The goal is to analyze the proposed architecture for increasing combat effectiveness by minimizing the management and coordination through advanced AI/ML techniques.
Type
Poster
Description
NPS NRP Project Poster
Department
Mechanical and Aerospace Engineering
Organization
Naval Postgraduate School (U.S.)
Naval Research Program (NRP)
Identifiers
NPS Report Number
Sponsors
Naval Special Warfare Command (NAVSPECWARCOM)
N7 - Warfighting Development
Funding
This research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrp
Chief of Naval Operations (CNO)
Format
Citation
Distribution Statement
Approved for public release. Distribution is unlimited. 
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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