NPS CRUSER MTX After Action Report 2017-2020

Abstract

The Naval Postgraduate School (NPS) Consortium for Robotics and Unmanned Systems Education and Research (CRUSER)initiative Multi-Thread Experimentation (MTX) encompasses multiple research objectives with an overarching goal of developing a general purpose UxV Networked Control System (NCS). The report includes efforts over the last four years. It started with an initial, concept demonstration conducted in San Clemente Island, CA from November 01-17, 2017 with (4) Unmanned Aerial Vehicles (UAVs), (2) Unmanned Surface Vehicles (USVs) and (2) Unmanned Underwater Vehicles (UUVs) supporting a Naval Special Warfare (NSW) direct action mission scenario with command and control and simulated on-call distributed fire support from a COMTHIRDFLT ship. The report describes the results and the potential and future challenges associated with fielding a UxV NCS for Department of Defense mission objectives.

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Document Details

Document Type
Technical Report
Publication Date
Oct 07, 2021
Accession Number
AD1152909

Entities

People

  • Douglas Horner

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Cyber
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Computer Languages
  • Computer Vision
  • Computers
  • Control Systems
  • Ground Control Stations
  • Information Science
  • Machine Learning
  • Mesh Networks
  • Motion Planning
  • Operating Systems
  • Situational Awareness
  • Supervised Machine Learning
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Systems
  • Wireless Networks

Readers

  • Aerial Delivery - Logistics and Supply Chain Management.
  • 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
  • Autonomy - Autonomous System Control
  • Autonomy - UAVs
  • Fully Networked C3
  • Fully Networked C3 - Command and Control