1.3.2 Multi-Dimensional and Dissipative Dynamical Systems: Exploration of the soft-matter phase transitions of fire ant aggregations

Abstract

Major Goals: The overall goal is to develop a program to discover adaptability principles of fire ants, Solenopsis invicta, under diverse conditions. This work will build on the PIs previous work on fire ants to discover principles of shelter construction, adaptation to vibration, internal dynamics of aggregations, and responses to external forces. The program will be composed of four research thrusts, each of which can operate separately but will ultimately interact: instrumentation development, biological studies, physical modeling and material properties characterization. These will advance biomechanics, robotics and active materials research. We have also been investigating the behavior of aggregations of another active matter system, black soldier fly larvae. These larvae are small soft insects on the same scale as fire ants and that also spend time in aggregations. Unlike fire ants, they do not create links between each other. However, they do generate coherent flows. They thus a simpler model for studying collective behavior, and makes it easier to separate the effects of biology and physics in behavior of aggregations. The principles found in this study will help guide in design of modular robots as well as the algorithms to guide them in building in dynamic environments.

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Document Details

Document Type
Technical Report
Publication Date
Dec 31, 2018
Accession Number
AD1070515

Entities

People

  • David L. Hu

Organizations

  • Georgia Tech Research Corporation

Tags

Communities of Interest

  • Autonomy
  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Biology
  • Dynamics
  • Electron Microscopy
  • Elephants
  • Engineering
  • Fluid Dynamics
  • Materials
  • Mechanics
  • New York
  • Phase Transformations
  • Physics
  • Scanning Electron Microscopy
  • Soft Robotics
  • Students
  • Technology Transfer
  • X-Ray Computed Tomography

Readers

  • Distributed Systems and Data Platform Development
  • Nanocomposite Materials Science
  • Vector-Borne Disease and Entomology

Technology Areas

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