Optimal vs. Heuristic Assignment of Cooperative Autonomous Unmanned Air Vehicles

Abstract

This paper describes investigation of algorithms that generate vehicle and task assignments for autonomous UAVs in cooperative missions. In previous work many algorithms have been examined to solve the problem of assignment of autonomous UAVs to tasks based on their ability to perform those tasks. Because of the complexity of this problem, these algorithms have been based on heuristic solutions to the problem.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2003
Accession Number
ADA416576

Entities

People

  • Andrew Sparks
  • Corey Schumacher
  • Jason W. Mitchell
  • Phillip Chandler
  • Steven Rasmussen

Tags

Communities of Interest

  • Air Platforms
  • Autonomy

DTIC Thesaurus Topics

  • Aeronautics
  • Air Force
  • Air Force Research Laboratories
  • Aircrafts
  • Algorithms
  • Astronautics
  • Control Systems
  • Cooperative Control
  • Military Research
  • Navigation
  • Probability
  • Probability Distributions
  • Simulations
  • United States
  • Unmanned
  • Unmanned Aerial Vehicles
  • Vehicles

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Graph Algorithms and Convex Optimization.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.

Technology Areas

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