Unmanned Tactical Autonomous Control and Collaboration (UTACC) Quick-Win Robot Analysis

Abstract

In order to continue the Unmanned Tactical Autonomous Control and Collaboration (UTACC) program, an accurate understanding of the current unmanned vehicles (UxVs) available on the commercial market is required. This thesis used site visits, conference attendance, trade shows, and online databases to evaluate and rank both unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs). This thesis identified 10 out of 46 UAVs and five UGVs that could be quick-wins for the Marine Corps if adopted. These identified platforms received the highest scores based on five measures of effectiveness (MOEs): technology readiness level (TRL), mission capability, interdependence, modularity, and security. This thesis also addressed the need to evaluate systems based on their level of interdependence instead of level of autonomy, acknowledging the importance of human-machine teaming.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2018
Accession Number
AD1065325

Entities

People

  • Kenton M. Comstock
  • Steven J. Krajewski

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Aircraft Equipment
  • Aircraft Industry
  • Aircrafts
  • Airframes
  • Artificial Intelligence
  • Birds
  • Control Systems
  • Detection
  • Fixed Wing Aircraft
  • Ground Control Stations
  • Ground Vehicles
  • Human Machine Systems
  • Human-Machine Systems
  • Information Systems
  • Marine Corps
  • Military Applications
  • Military Science
  • Remotely Piloted Vehicles
  • Situational Awareness
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Ground Vehicles
  • Unmanned Systems
  • Unmanned Vehicles
  • Vertical Takeoff Aircraft

Readers

  • Computational Modeling and Simulation
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Human-Robot Interaction
  • Autonomy - UAVs