English

Pattern-Acquisition in Finite, Heterogenous, Delay-Coupled Swarms

Pattern Formation and Solitons 2015-03-02 v1 Adaptation and Self-Organizing Systems

Abstract

The self-organizing behavior of swarms of inter- acting particles or agents is a topic of intense research in fields extending from biology to physics and robotics. In this paper, we carry out a systematic study of how the stable spatio-temporal patterns of a swarm depend on the number of agents, in the presence of time-delayed interaction and agent heterogeneity. We show how a coherent pattern is modified as the number of agents varies, including the time required to converge to it starting from random initial conditions. We discuss the implications of our results for curve-tracking using autonomous robotic systems.

Keywords

Cite

@article{arxiv.1502.07978,
  title  = {Pattern-Acquisition in Finite, Heterogenous, Delay-Coupled Swarms},
  author = {Klimka Szwaykowska and Christoffer Heckman and Luis Mier-y-Teran-Romero and Ira B. Schwartz},
  journal= {arXiv preprint arXiv:1502.07978},
  year   = {2015}
}

Comments

7 pages 6 figures

R2 v1 2026-06-22T08:39:55.154Z