Characterization and Modeling of Insect Swarms Using tools from Fluid Dynamics

Abstract

The goals of this project were to develop a laboratory system for quantitatively measuring the flight trajectories of swarming insects and to use the resulting data to evaluate currently used models of collective behavior. We were successful in completing both goals, leading to the first highly resolved, statistically robust data sets for insect swarms, which we mined for statistical information, and to an evaluation of canonical swarming models, which were shown to be lacking for describing real swarming data.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2016
Accession Number
AD1037299

Entities

People

  • Nicholas T. Ouellette

Organizations

  • Yale University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Agreements
  • Data Sets
  • Department Of Defense
  • Dynamics
  • Engineering
  • Environmental Engineering
  • Fluid Dynamics
  • Fluid Flow
  • Life Cycles
  • Materials
  • Materials Science
  • Mathematics
  • Mechanical Engineering
  • Statistics
  • Students
  • Universities

Readers

  • Computational Fluid Dynamics (CFD)
  • Distributed Systems and Data Platform Development
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference
  • Autonomy
  • Autonomy - Autonomous System Control