Programmable self-organization of heterogeneous microrobot collectives

Author:

Ceron Steven12ORCID,Gardi Gaurav34ORCID,Petersen Kirstin5,Sitti Metin367ORCID

Affiliation:

1. Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853

2. Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA 02139

3. Physical Intelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart 70569, Germany

4. Department of Physics, University of Stuttgart, Stuttgart 70569, Germany

5. Electrical and Computer Engineering, Cornell University, Ithaca, NY 14853

6. Institute for Biomedical Engineering, Eidgenössische Technische Hochschule Zurich, 8092 Zurich, Switzerland

7. School of Medicine and College of Engineering, Koç University, Istanbul 34450, Turkey

Abstract

At the microscale, coupled physical interactions between collectives of agents can be exploited to enable self-organization. Past systems typically consist of identical agents; however, heterogeneous agents can exhibit asymmetric pairwise interactions which can be used to generate more diverse patterns of self-organization. Here, we study the effect of size heterogeneity in microrobot collectives composed of circular, magnetic microdisks on a fluid–air interface. Each microrobot spins or oscillates about its center axis in response to an external oscillating magnetic field, in turn producing local magnetic, hydrodynamic, and capillary forces that enable diverse collective behaviors. We demonstrate through physical experiments and simulations that the heterogeneous collective can exploit the differences in microrobot size to enable programmable self-organization, density, morphology, and interaction with external passive objects. Specifically, we can control the level of self-organization by microrobot size, enable organized aggregation, dispersion, and locomotion, change the overall shape of the collective from circular to ellipse, and cage or expel objects. We characterize the fundamental self-organization behavior across a parameter space of magnetic field frequency, relative disk size, and relative populations; we replicate the behavior through a physical model and a swarming coupled oscillator model to show that the dominant effect stems from asymmetric interactions between the different-sized disks. Our work furthers insights into self-organization in heterogeneous microrobot collectives and moves us closer to the goal of applying such collectives to programmable self-assembly and active matter.

Funder

National Science Foundation

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

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