Voice-on-Target: A New Approach to Tactical Networking and Unmanned Systems Control via the Voice Interface to the SA Environment

Abstract

Since 2004 the authors have been actively involved in the innovative Tactical Network Topology (TNT) experimentation program, which the Naval Postgraduate conducts quarterly with the United States Special Operations Command (USSOCOM) to explore emerging agile adaptive tactical networks. One of our first findings was a set of solutions enabling rapid adaptation of broadband wireless networks to the commander's needs, which we have named Network-on-Target (Bordetsky and Bourakov, 2006). According to the Network-on-Target (NoT) operational concept the adaptation starts at the level of the situational awareness interface used by the local commander. When the commander desires to have one of the mobile nodes (operators, vehicles, unmanned platforms) move to a target location which is beyond the current network range, he drags the selected node icon on his display to the target position. In response, the self-aligning robotic antennas autonomously adjust their orientation to establish and support the short-term network links between mobile nodes.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2009
Accession Number
ADA503110

Entities

People

  • Alex B. Bordetsky
  • Eugene Bourakov

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Biomedical
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Command And Control
  • Control Systems
  • Databases
  • Detection
  • Detectors
  • Graphical User Interface
  • High Resolution
  • Information Science
  • Mobile Phones
  • Situational Awareness
  • Unmanned Aerial Vehicles
  • Unmanned Systems
  • Unmanned Vehicles
  • Vehicles
  • Voice Communications
  • Wireless Communications

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.
  • 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 - UAVs
  • Fully Networked C3
  • Fully Networked C3 - Command and Control