Programming active cohesive granular matter with mechanically induced phase changes

Abstract

Interactions of simple robots can be mapped to a discrete algorithm that accurately predicts the ensemble’s emergent behaviors.

Document Details

Document Type
Pub Defense Publication
Publication Date
Apr 23, 2021
Source ID
10.1126/sciadv.abe8494

Entities

People

  • Andréa W. Richa
  • B Dutta
  • Dana Randall
  • Daniel I. Goldman
  • Enes Aydin
  • Joshua J. Daymude
  • Ram Avinery
  • Sarah Cannon
  • Shengkai Li

Organizations

  • Arizona State University
  • Army Research Office
  • Brown University
  • Claremont McKenna College
  • Division of Physics
  • Georgia Tech
  • National Science Foundation
  • Santa Fe Institute
  • United States Department of Energy

Tags

Fields of Study

  • Physics

Technology Areas

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