Non-Uniform Robot Densities in Vibration Driven Swarms Using Phase Separation Theory
Siddharth Mayya, Gennaro Notomista, Dylan Shell, Seth Hutchinson, Magnus Egerstedt
Abstract
In robot swarms operating under highly restrictive sensing and communication constraints, individuals may need to use direct physical proximity to facilitate information exchange. However, in certain task-related scenarios, this requirement might conflict with the need for robots to spread out in the environment, e.g., for distributed sensing or surveillance applications. This paper demonstrates how a swarm of minimally-equipped robots can form high-density robot aggregates that coexist with lower robot densities in space. We envision a scenario where a swarm of vibration-driven robots-which sit atop bristles and achieve directed motion by vibrating them-move randomly in an environment while colliding with each other. Theoretical techniques from the study of far-from-equilibrium collectives and statistical mechanics clarify the mechanisms underlying the formation of these high and low density regions. Specifically, we capitalize on a transformation that connects the collective properties of a system of self-propelled particles with that of a well-studied molecular fluid system, thereby inheriting the rich theory of equilibrium thermodynamics. Real robot experiments as well as simulations illustrate how inter-robot collisions can precipitate the formation of non-uniform robot densities in a closed and bounded region.
BibTeX
@inproceedings{iros2019_nonuniformrobotd,
title = {Non-Uniform Robot Densities in Vibration Driven Swarms Using Phase Separation Theory},
author = {Siddharth Mayya and Gennaro Notomista and Dylan Shell and Seth Hutchinson and Magnus Egerstedt},
booktitle = {IROS 2019},
year = {2019}
}