Laboratory and Modeling Studies of Insect Swarms

Abstract

In this report, we describe the results of the research completed with support from this grant. The results are organized along three broad themes: studies of the interactions between individual insects in a swarm; studies of the swarm as a whole; and swarm modeling. At the individual level, we showed that the typical modeling assumption of force-like pairwise interactions is invalid in our swarms, but that more subtle interactions can be identified. At the swarm level, we showed that the swam state is robust with a surprisingly small number of individuals. We also developed methods for conducting controlled perturbation/response experiments that allow us to extract material-like properties for the swarm. And we began work on a new, data-driven swarm model based on the sensory capabilities of the insects. Copies of all papers written with support from this award are included with this report.

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Document Details

Document Type
Technical Report
Publication Date
Mar 10, 2016
Accession Number
AD1010208

Entities

People

  • Nicholas T. Ouellett

Organizations

  • Yale University

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Animal Behavior
  • Animals
  • Change Detection
  • Data Acquisition
  • Department Of Defense
  • Detection
  • Engineering
  • Engineers
  • Inverse Problems
  • Law
  • Materials
  • Mechanical Engineering
  • Physics
  • Power Spectra
  • Statistics
  • Students
  • Thermodynamic Properties

Readers

  • Aerospace Engineering
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Computational Modeling and Simulation

Technology Areas

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