Strategic Acquisition of Navy Unmanned Systems: Analysis and Options

Abstract

The U.S. Navy (USN) and U.S. Department of Defense (DoD) have many emerging robotics needs and potentialities. However, although the United States is strong in defense robotics -- in particular in Unmanned Aerial Systems (UAS) -- recent reports have identified fundamental weaknesses in the broader U.S. robotics innovation system in which defense robotics is embedded. Since the potential scale of commercial robotics is far greater than military robotics over the long run, the United States needs to develop a stronger national robotics innovation system to support the long-term development of defense robotics and help make the nation more secure. Traditionally, the policy response to such needs has involved stimulating the supply side. This report identifies robust local U.S. demand for robotics as a critical element in developing a thriving U.S. robotics innovation system. Therefore, while some DoD acquisition strategies attend to industry development via supply-side elements (such as research and development support for major suppliers, Small Business Innovation Research initiatives, etc.), I suggest that these initiatives must be complemented with a set of pro-demand-side acquisition strategies. This report outlines the rationale for including a demand-side approach in DoD robotics acquisition policy, a set of appropriate strategies, and a framework for implementation.

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Document Details

Document Type
Technical Report
Publication Date
Jul 12, 2012
Accession Number
ADA568333

Entities

People

  • Nicholas Dew

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Acquisition
  • Business Administration
  • Cognitive Systems Engineering
  • Commerce
  • Department Of Defense
  • Disruptive Technology
  • Government Procurement
  • Governments
  • Management Personnel
  • Military Acquisition
  • Organizational Structure
  • Personnel Management
  • Public Policy
  • Unmanned Aerial Systems
  • Unmanned Systems
  • Unmanned Underwater Vehicles
  • Unmanned Vehicles

Readers

  • Economics
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

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