Delay induced swarm pattern bifurcations in mixed reality experiments

Abstract

Swarms of coupled mobile agents subject to inter-agent wireless communication delays are known to exhibit multiple dynamic patterns in space that depend on the strength of the interactions and the magnitude of the communication delays. We experimentally demonstrate communication delay-induced bifurcations in the spatiotemporal patterns of robot swarms using two distinct hardware platforms in a mixed reality framework. Additionally, we make steps toward experimentally validating theoretically predicted parameter regions where transitions between swarm patterns occur. We show that multiple rotation patterns persist even when collision avoidance strategies are incorporated, and we show the existence of multi-stable, co-existing rotational patterns not predicted by usual mean field dynamics. Our experiments are the first significant steps toward validating existing theory and the existence and robustness of the delay-induced patterns in real robotic swarms.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jul 01, 2020
Source ID
10.1063/1.5142849

Entities

People

  • Ioana Triandaf
  • Ira B. Schwartz
  • Jason Hindes
  • Mongying Hsieh-Cowley
  • Philip deZonia
  • Victoria Edwards

Organizations

  • Office of Naval Research
  • United States Naval Research Laboratory
  • University of Pennsylvania

Tags

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference
  • Autonomy
  • Autonomy - Autonomous System Control
  • Space
  • Space - Spacecraft Maneuvers