Collective clog control: Optimizing traffic flow in confined biological and robophysical excavation

Abstract

Efficient methods for excavating in narrow channels are studied through the observation of ants, robot analogs, and cellular automata.

Document Details

Document Type
Pub Defense Publication
Publication Date
Aug 17, 2018
Source ID
10.1126/science.aan3891

Entities

People

  • B Dutta
  • D. Monaenkova
  • Daniel I. Goldman
  • H.-s. Kuan
  • Jeffrey Aguilar
  • Meredith D Betterton
  • Michael A D Goodisman
  • V. Linevich
  • William Savoie

Organizations

  • Army Research Office
  • Georgia Tech
  • Max Planck Institute for the Physics of Complex Systems
  • National Academies of Sciences, Engineering, and Medicine
  • National Science Foundation
  • University of Colorado Boulder

Tags

Fields of Study

  • Chemistry

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Riverine Ecology
  • Robotics and Automation.

Technology Areas

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