Multi-Agent Algorithms for Chemical Cloud Detection and Mapping Using Unmanned Air Vehicles

Abstract

Traditional control approaches fall well short of the necessary flexibility and efficiency needed to meet the commercial and military demands placed upon UAV swarms. Effective coordination of these swarms requires development of control strategies based on emergent behavior. We have developed a rule-based, decentralized control algorithm that relies on constrained randomized behavior and respects UAV restrictions on sensors, computation, and flight envelope.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2002
Accession Number
ADA407510

Entities

People

  • Daniel Palmer
  • Guang Yang
  • Michael A. Kovacina
  • Ravi Vaidyanathan

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Aircrafts
  • Algorithms
  • Commerce
  • Computations
  • Control Systems
  • Detection
  • Detectors
  • Flight
  • Military Operations
  • Simulations
  • Small Business
  • United States
  • Unmanned
  • Unmanned Aerial Vehicles
  • Vehicles

Readers

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  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Systems Analysis and Design

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - UAVs