Work

Rotating robots move collectively and self-organize

Year: 2018

Type: article

Abstract: Biological organisms and artificial active particles self-organize into swarms and patterns. Open questions concern the design of emergent phenomena by choosing appropriate forms of activity and particle interactions. A particularly simple and versatile system are 3D-printed robots on a vibrating table that can perform self-propelled and self-spinning motion. Here we study a mixture of minimalistic clockwise and counter-clockwise rotating robots, called rotors. Our experiments show that rotors move collectively and exhibit super-diffusive interfacial motion and phase separate via spinodal decomposition. On long time scales, confinement favors symmetric demixing patterns. By mapping rotor motion on a Langevin equation with a constant driving torque and by comparison with computer simulations, we demonstrate that our macroscopic system is a form of active soft matter.

Source: Nature Communications

DOI: 10.1038/s41467-018-03154-7

Authors: Christian Scholz, Michael Engel, Thorsten Pöschel

Institutions: Friedrich-Alexander-Universität Erlangen-Nürnberg, Heinrich Heine University Düsseldorf

Language: English

Topic: Micro and Nano Robotics

Subfield: Condensed Matter Physics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $6,990

Funders: Deutsche Forschungsgemeinschaft, Zurich Information Security and Privacy Center