Integration of Robotic Resources into FORCEnet

Abstract

The Networked Intelligence Surveillance, and Reconnaissance (NISR) project integrates robotic resources into Composeable FORCEnet to control and exploit unmanned systems over extremely long distances. The foundations are built upon FORCEnet-the U.S. Navy's process to define C4ISR for net-centric operations-and the Navy Unmanned Systems Common Control Roadmap to develop technologies and standards for interoperability. data sharing. publish-and-subscribe methodology. and software reuse. The paper defines the goals and boundaries for NISR with focus on the system architecture, including the design tradeoffs necessary for unmanned systems in a net-centric model. Special attention is given to two specific scenarios demonstrating the integration of unmanned ground and water surface vehicles into the open-architecture web-based command-and-control information-management system of Composeable FORCEnet. Planned spiral development for NISR will improve collaborative control, expand robotic sensor capabilities, address multiple domains including underwater and aerial platforms, and extend distributive communications infrastructure for battlespace optimization for unmanned systems in net-centric operations.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2006
Accession Number
ADA449462

Entities

People

  • Chinh Nguyen
  • Daniel Carroll
  • Hoa Nguyen

Organizations

  • Naval Information Warfare Systems Command

Tags

Communities of Interest

  • Autonomy
  • Ground and Sea Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Cognitive Systems Engineering
  • Command And Control
  • Navigation
  • Situational Awareness
  • Spiral Development
  • Standards
  • Teamwork
  • Unmanned Aerial Vehicles
  • Unmanned Ground Vehicles
  • Unmanned Surface Vehicles
  • Unmanned Systems
  • Unmanned Underwater Vehicles
  • Unmanned Vehicles
  • User Interface
  • Vehicles
  • Wireless Networks
  • Xml

Fields of Study

  • Computer science

Readers

  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • 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