AFIT UAV Swarm Mission Planning and Simulation System

Abstract

The purpose of this research is to design and implement a comprehensive mission planning system for swarms of autonomous aerial vehicles. The system integrates several problem domains including path planning, vehicle routing, and swarm behavior. The developed system consists of a parallel, multi-objective evolutionary algorithm-based path planner, a genetic algorithm-based vehicle router, and a parallel UAV swarm simulator. Each of the system's three primary components are developed on AFIT's Beowulf parallel computer clusters. Novel aspects of this research include: integrating terrain following technology into a swarm model as a means of detection avoidance, combining practical problems of path planning and routing into a comprehensive mission planning strategy, and the development of a swarm behavior model with path following capabilities.

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Document Details

Document Type
Technical Report
Publication Date
Jun 13, 2006
Accession Number
ADA454271

Entities

People

  • James N. Slear

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Algorithms
  • Collision Avoidance
  • Computers
  • Detection
  • Evolutionary Algorithms
  • Fixed Wing Aircraft
  • Genetic Algorithms
  • Motion Planning
  • Navigation
  • Simulations
  • Simulators
  • Software Development
  • Terrain Following
  • Three Dimensional
  • Unmanned Aerial Vehicles

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Parallel and Distributed Computing.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Machine Learning Algorithms
  • Autonomy
  • Autonomy - Autonomous System Control
  • Biotechnology