Rotating robots move collectively and self-organize.

Journal article


Publication Details

Author(s): Scholz C, Engel M, Pöschel T
Journal: Nature Communications
Publication year: 2018
Volume: 9
Journal issue: 1
Pages range: 931
ISSN: 2041-1723


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.



FAU Authors / FAU Editors

Engel, Michael Prof. Dr.
Lehrstuhl für Multiscale Simulation of Particulate Systems
Pöschel, Thorsten Prof. Dr.
Lehrstuhl für Multiscale Simulation of Particulate Systems
Scholz, Christian Dr.
Lehrstuhl für Multiscale Simulation of Particulate Systems


Additional Organisation
Exzellenz-Cluster Engineering of Advanced Materials


How to cite

APA:
Scholz, C., Engel, M., & Pöschel, T. (2018). Rotating robots move collectively and self-organize. Nature Communications, 9(1), 931. https://dx.doi.org/10.1038/s41467-018-03154-7

MLA:
Scholz, Christian, Michael Engel, and Thorsten Pöschel. "Rotating robots move collectively and self-organize." Nature Communications 9.1 (2018): 931.

BibTeX: 

Last updated on 2019-02-01 at 05:10