Emergent dynamics and spatiotemporal patterns in soft robotic swarms

TL;DR

This paper investigates the complex emergent behaviors and patterns in three-dimensional soft robotic swarms swimming in viscous fluids, highlighting how initial configurations influence collective dynamics and pattern formation.

Contribution

It introduces the study of 3D spatiotemporal patterns in soft robotic swarms, extending beyond previous rigid, 2D analyses, and explores how initial conditions affect emergent behaviors.

Findings

Swimmers with different initial positions in the swimming direction attract each other.

Swimmers with lateral initial variations repel and form a concentrated plane.

Swimmers eventually drift outward in a collective pattern.

Abstract

The collective swimming of soft robots in an infinite viscous fluid is an emergent phenomenon due to the non-reciprocal hydrodynamic interactions between individual swimmers. These physical interactions give rise to unique spatiotemporal patterns and unusual swimming trajectories that are often difficult to predict due to the two-way fully coupled nature of the strong fluid-structure interaction at a thermodynamic state that is far from equilibrium. Until now, robotic swarms have mostly been studied for rigid swimmers in two-dimensional settings. Here we study the emergence of three-dimensional spatiotemporal patterns of helical magnetically actuated soft-robotic swimmers by systematically studying the effect of different initial configurations. Our results show that swimmers with variations in initial positions in the swimming direction are attracted to each other, while swimmers with variations in lateral positions repel each other, eventually converging to a state in which all swimmers concentrate in one lateral plane drifting radially outward.