Command and Control Autonomous UxV's

Abstract

The future unmanned battlespace will contain heterogeneous swarms of autonomous air and ground platforms. A significant hurdle in enabling a heterogeneous swarm is the ability to move the algorithms developed in simulation environments onto real-world unmanned vehicles (UxV's). The Applied Physics Lab has developed the Robotic Algorithm and Communications Environment (RACE), a platform independent behavior-based algorithm framework that supports air and ground vehicle hardware interfaces to enable swarms of unmanned vehicles to operate cooperatively. This briefing describes the command and control (C2) aspects of the RACE architecture and the results from recent hardware in the loop demonstrations. APL experiments have shown how swarms of autonomous vehicles can support complex C2 environments by cooperatively de-conflicting multiple user goals.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2005
Accession Number
ADA463767

Entities

People

  • Chad Hawthorne
  • Dave Scheidt

Organizations

  • Johns Hopkins University

Tags

Communities of Interest

  • Autonomy
  • C4I

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Artificial Intelligence
  • Autonomous Vehicles
  • Command And Control
  • Computing System Architectures
  • Education
  • Environment
  • Ground Stations
  • Information Systems
  • National Security
  • Physics Laboratories
  • Service Oriented Architecture
  • Software Design
  • Unmanned
  • Unmanned Vehicles
  • Vehicles

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - UAVs
  • Fully Networked C3
  • Fully Networked C3 - Command and Control