Acoustic signaling enables collective perception and control in active matter systems
arXiv:2410.02940 · doi:10.1103/m1hl-d18s
Abstract
Emergent cooperative functionality in active matter systems plays a crucial role in various applications of active swarms, ranging from pollutant foraging and collective threat detection to tissue embolization. In nature, animals like bats and whales use acoustic signals to communicate and enhance their evolutionary competitiveness. Here, we show that information exchange by acoustic waves between active agents creates a large variety of multifunctional structures. In our realization of collective swarms, each unit is equipped with an acoustic emitter and a detector. The swarmers respond to the resulting acoustic field by adjusting their emission frequency and migrating toward the strongest signal. We find self-organized structures with different morphology, including snake-like self-propelled entities, localized aggregates, and spinning rings. These collective swarms exhibit emergent functionalities, such as phenotype robustness, collective decision-making, and environmental sensing. For instance, the collectives show self-regeneration after strong distortion, allowing them to penetrate through narrow constrictions. Additionally, they exhibit a population-scale perception of reflecting objects and a collective response to acoustic control inputs. Our results provide insights into fundamental organization mechanisms in information-exchanging swarms. They may inspire design principles for technical implementations in the form of acoustically or electromagnetically communicating microrobotic swarms capable of performing complex tasks and concerting collective responses to external cues.
References in corpus (31)
- The World of the Complex Ginzburg-Landau Equation
- Chimera States for Coupled Oscillators
- Dynamical clustering and phase separation in suspensions of self-propelled colloidal particles
- Dynamic clustering in active colloidal suspensions with chemical signaling
- The 2019 Motile Active Matter Roadmap
- Boltzmann and hydrodynamic description for self-propelled particles
- Oscillators that sync and swarm
- Computational models for active matter
- Hydrodynamic equations for self-propelled particles: microscopic derivation and stability analysis
- Chemotaxis and auto-chemotaxis of self-propelling artificial droplet swimmers
- Hydrodynamics of self-propelled hard rods
- Pattern formation of microtubules and motors: inelastic interaction of polar rods
- Large-scales patterns in a minimal cognitive flocking model: incidental leaders, nematic patterns, and aggregates
- Dynamics of self-propelled Janus particles in viscoelastic fluids
- Self-assembly of micro-machining systems powered by Janus micro-motors
- Simple and faithful nonlinear field equations for aligning self-propelled rods
- Self-assembly of colloidal molecules due to self-generated flow
- Active Curved Polymers form Vortex Patterns on Membranes
- Chemotactic self-caging in active emulsions
- Long-range Acoustic Interactions in Insect Swarms: An Adaptive Gravity Model
- Diverse Behaviors in Non-Uniform Chiral and Non-Chiral Swarmalators
- Metamachines of Pluripotent Colloids
- Autonomous waves and global motion modes in living active solids
- Extensile to contractile transition in active microtubule-actin composites generates layered asters with programmable lifetimes
- Vortex Glass and Vortex Liquid in Oscillatory Media
- Collective behavior of self-steering active particles with velocity alignment and visual perception
- Active droploids
- Collective self-optimization of communicating active particles
- Kinetic theory of pattern formation in mixtures of microtubules and molecular motors
- Patchy landscapes promote stability of small groups
- Supramolecular assemblies in active motor-filament systems: micelles, bilayers, and foams