Modeling the collective behavior of unsteadily swimming zooplankton, Research Area 3.3 Biomathematics

Abstract

Zooplankton like copepods have the ability to sense changes in the local environment and respond with rapid maneuvers, which can produce complex dynamics at multiple length and time scales. This short-term innovative research (STIR) project aims to predict the long-term behavior of swimming copepods at the population level in terms of the unsteady movements at the individual level. The project combines theoretical and experimental methods to develop a new mechanistic model. The results will advance knowledge of the collective behavior of copepods and other key components of marine ecosystems, as well as swarms of autonomously moving robots which could be controlled in the future for various applications of interest to the Army.

Document Details

Document Type
DoD Grant Award
Publication Date
Feb 25, 2019
Source ID
W911NF1510608

Entities

People

  • Daisuke Takagi

Organizations

  • Army Contracting Command
  • United States Army
  • University of HawaiĘ»i System

Tags

Fields of Study

  • Environmental science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Marine Ecotoxicology

Technology Areas

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