Taking the Next Step: From 'Unmanned' to True Autonomy

Abstract

Unmanned systems have come to be used so extensively that it is almost impossible to imagine tomorrow's military operating without the strategic, operational, and tactical advantages that they offer. However, today most unmanned systems have yet to advance towards true autonomy; instead, they require extensive manpower support, which escalates Total Ownership Costs to unsustainable levels. As the DoD's Unmanned Systems Integrated Roadmap 2011-2036 states, "the increased manpower to operate unmanned systems is adding stress to the overall workload of the armed forces. This stress highlights the need to transition to a more autonomous, modern system of warfare." Future C4ISR development to make this vision a reality must reduce manpower while expanding complexity of missions these systems are able to carry out. A particularly urgent focus area is the need for unmanned intelligence, surveillance, and reconnaissance (ISR) systems to conduct onboard processing of data to address the "information overload" crisis that the U.S. military is facing today. We will present examples of ground-breaking work being conducted in the DoD laboratory community, highlighting systems such as the Intelligence Carry On Program (ICOP) that are paving the way for a completely new paradigm--multiple unmanned systems controlled by one operator.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2012
Accession Number
ADA570098

Entities

People

  • George Galdorisi
  • Rachel Volner
  • Robin Laird

Organizations

  • Naval Information Warfare Systems Command

Tags

Communities of Interest

  • Autonomy
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Aircrafts
  • Autonomous Systems
  • Cognitive Systems Engineering
  • Command And Control
  • Control Systems
  • Employment
  • Ground Control Stations
  • Naval Operations
  • Naval Warfare
  • Personnel Management
  • Remotely Piloted Vehicles
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Ground Vehicles
  • Unmanned Systems
  • Unmanned Vehicles

Readers

  • Economics
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

  • Autonomy
  • Autonomy - Human-Robot Interaction
  • Autonomy - UAVs