Cooperative Control for UAV's Searching Risky Environments For Targets

Abstract

A software architecture is presented, which introduces several agents which focus on different aspects of path planning for multiple autonomous unmanned aerial vehicles (UAV's) that are searching an uncertain and threatening environment for targets. One agent models threats in the environment. Another develops a model of the environment that allows targets to be defined by individual probability distribution. Lastly, an agent is presented that utilizes the information from the other agents to generate a near optimal path plan using a Dynamic Programming algorithm.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2003
Accession Number
ADA423988

Entities

People

  • Emmanuel Fernandez-gaucherand
  • Marios Polycarpou
  • Matthew Flint

Organizations

  • University of Cincinnati

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Aircrafts
  • Algorithms
  • Computer Science
  • Contracts
  • Cooperative Control
  • Environment
  • Motion Planning
  • Probability
  • Probability Distributions
  • Random Variables
  • United States
  • Unmanned Aerial Vehicles
  • Vehicles

Fields of Study

  • Computer science

Readers

  • Operations Research
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

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