Swarming UAS II

Abstract

The Aviation and Missile Research, Development, and Engineering Center (AM-RDEC) Advanced Science and Technology Unmanned Systems Office plans the way ahead for UAS. Their intent is to pursue technologies that increase the functionality of UAS while simultaneously reducing the workload on the user. Recent Operations Research Center of Excellence (ORCEN) research by MAJ Ed Teague, DSE-R-0808, showed that simple rule sets can organize multiple UAS to complete tasks with little or no input from controllers/users (Teague and Kewley, 2008). As a matter of design, DSE-R-0808 employed biomimicry to model a swarm of UAS as a colony of ants, where each UAS dynamically updates a global memory map, allowing pheromone-like communication (see DTIC: ADA489366 for additional details). In particular, the major findings of DSE-R-0808 were: (1) Semi-Autonomous Self-Organizing (SASC) UAS are possible using preprogrammed tasks and pheromone communication methods; (2) Depending on the rate of pheromone decay and the influence of distant pheromone levels, multiple UAS seem to sufficiently cover a large area without any input beyond a global rule set; (3) SASC behaviors were tested via federated simulation, and its performance is comparable to preprogrammed routing without the overhead.

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Document Details

Document Type
Technical Report
Publication Date
May 05, 2010
Accession Number
ADA588955

Entities

People

  • James M Cook
  • Matthew Dabkowski
  • Robert Kewley

Organizations

  • United States Military Academy

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Cognitive Systems Engineering
  • Collision Avoidance Systems
  • Department Of Defense
  • Engineering
  • Global Positioning Systems
  • Improvised Explosive Devices
  • Operations Research
  • Probability
  • Random Variables
  • Random Walk
  • Simulations
  • Systems Engineering
  • Target Recognition
  • Unmanned Aerial Systems
  • Unmanned Aerial Vehicles
  • Unmanned Systems

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Computational Modeling and Simulation
  • Technical Research and Report Writing.

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control