Unmanned Tactical Autonomous Control and Collaboration (UTACC) Campaign of Experimentation

Abstract

This thesis defines a campaign of experimentation to guide UTACC development from concept to reality. It also applies design methodologies to reduce costs and increase the quality, effectiveness, and speed of UTACCs development. UTACC is a system of systems that teams Marines with unmanned robotic systems to reduce the Marines cognitive load and enhance mission accomplishment. Bringing UTACC from concept to reality requires extensive experimentation, but prior to this thesis no experimentation plan has existed. A series of UTACC theses have been written starting with a CONOPS. Then theses red-celled the CONOPS, explored Coactive Design methodology, analyzed UAV alternatives, and generated measures of effectiveness and performance for the system. Using information learned from the previous theses, the campaign of experimentation described in this thesis identifies key developmental relationships, associates measures with them, and organizes them in an incremental order. This thesis also emphasizes Coactive Design and Model Driven Software Development to reduce cost and improve the quality and flexibility of the system. The goal of the campaign is to provide a plan to develop a robust, cost-efficient system that Marines can use as a part of their team to increase victory on the battlefield.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2016
Accession Number
AD1029817

Entities

People

  • Christopher P. Larreur

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Aircrafts
  • Autonomous Systems
  • Command And Control
  • Human-Robot Interaction
  • Information Exchange
  • Marine Corps Operations
  • Measures Of Effectiveness
  • Psychology
  • Software Design
  • Software Development
  • Spiral Development
  • System Of Systems
  • Systems Engineering
  • Test And Evaluation
  • Unmanned Aerial Vehicles
  • Unmanned Ground Vehicles
  • Unmanned Systems

Fields of Study

  • Computer science

Readers

  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy