NERD (Network Enabled Resource Device)

Abstract

Network Enabled Resource Devices (NERDs) combine the most common electronic components used in robotic applications into a standard electronics box with "plug-n-play" capabilities. Risk reduction efforts, systems testing and integration, and modifying the functionality of evolving systems becomes greatly simplified by standardizing core hardware and software components; in many cases, minimal software modifications are required to adapt an existing NERD for an emergent application. Internal components include an integral DC-DC converter, a wireless bridge and hub allowing point-to-multipoint communications, an audio/video hardware CODEC, a RISC-based processor with FPGA-based I/O, and a GPS receiver. NERDs can accept 12- 36VDC to power all components and are compatible with standard military batteries. Two 8-pin input/output data ports connected directly to the embedded processor allow for a wide range of control flexibility in a variety of applications. Implementations to date include controlling a non-lethal weapons pod on the MDARS-Exterior robot, an intelligent garage-door opener for the exterior robot refueling area, a communications/GPS module for a security team response vehicle, and an embedded controller for intruder detection systems.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2002
Accession Number
ADA422284

Entities

People

  • Robin T. Laird
  • Thomas Denewiler

Organizations

  • Naval Information Warfare Systems Command

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Command And Control
  • Computational Processes
  • Computing System Architectures
  • Converters
  • Dc-To-Dc Converters
  • Detectors
  • Electronics
  • Intrusion Detection
  • Intrusion Detection Systems
  • Intrusion Detectors
  • Local Area Networks
  • Network Protocols
  • Networks
  • Nonlethal Weapons
  • Software Design
  • Standards
  • Unmanned Ground Systems

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Parallel and Distributed Computing.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Microelectronics
  • Space