Co-Evolution of Form and Function in the Design of Autonomous Agents: Micro Air Vehicle Project

Abstract

This paper addresses issues of co-evolution of form and function for autonomous vehicles specifically evolving morphology and control for an autonomous micro air vehicle (MAV). The evolution of an optimal minimum sensor suite and reactive strategies for navigation and collision avoidance for the simulated MAV is described. The details of the implementation of the simulated aircraft, the environment, and the two cooperating genetic algorithm-based systems, SAMUEL and Genesis, used for evolution, are presented, as are preliminary results.

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Document Details

Document Type
Technical Report
Publication Date
Jul 08, 2000
Accession Number
ADA480643

Entities

People

  • Alan C. Schultz
  • Magdalena D. Bugajska

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Aircrafts
  • Algorithms
  • Artificial Intelligence
  • Autonomous Agents
  • Autonomous Underwater Vehicles
  • Autonomous Vehicles
  • Collision Avoidance
  • Collisions
  • Computer Science
  • Control Systems
  • Environment
  • Evolutionary Algorithms
  • Genetic Algorithms
  • Micro Air Vehicles
  • Navigation
  • Three Dimensional
  • Vehicles

Readers

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Technology Areas

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