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Programmable self-organization of heterogeneous microrobot collectives

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 patte...

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Autores principales: Ceron, Steven, Gardi, Gaurav, Petersen, Kirstin, Sitti, Metin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10268276/
https://www.ncbi.nlm.nih.gov/pubmed/37276400
http://dx.doi.org/10.1073/pnas.2221913120
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author Ceron, Steven
Gardi, Gaurav
Petersen, Kirstin
Sitti, Metin
author_facet Ceron, Steven
Gardi, Gaurav
Petersen, Kirstin
Sitti, Metin
author_sort Ceron, Steven
collection PubMed
description 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.
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spelling pubmed-102682762023-06-15 Programmable self-organization of heterogeneous microrobot collectives Ceron, Steven Gardi, Gaurav Petersen, Kirstin Sitti, Metin Proc Natl Acad Sci U S A Physical Sciences 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. National Academy of Sciences 2023-06-05 2023-06-13 /pmc/articles/PMC10268276/ /pubmed/37276400 http://dx.doi.org/10.1073/pnas.2221913120 Text en Copyright © 2023 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Physical Sciences
Ceron, Steven
Gardi, Gaurav
Petersen, Kirstin
Sitti, Metin
Programmable self-organization of heterogeneous microrobot collectives
title Programmable self-organization of heterogeneous microrobot collectives
title_full Programmable self-organization of heterogeneous microrobot collectives
title_fullStr Programmable self-organization of heterogeneous microrobot collectives
title_full_unstemmed Programmable self-organization of heterogeneous microrobot collectives
title_short Programmable self-organization of heterogeneous microrobot collectives
title_sort programmable self-organization of heterogeneous microrobot collectives
topic Physical Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10268276/
https://www.ncbi.nlm.nih.gov/pubmed/37276400
http://dx.doi.org/10.1073/pnas.2221913120
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