Publication:
Programmable self-organization of heterogeneous microrobot collectives

dc.contributor.coauthorCeron, Steven
dc.contributor.coauthorGardi, Gaurav
dc.contributor.coauthorPetersen, Kirstin
dc.contributor.departmentDepartment of Mechanical Engineering
dc.contributor.departmentDepartment of Mechanical Engineering
dc.contributor.kuauthorSitti, Metin
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteSchool of Medicine
dc.date.accessioned2024-12-29T09:40:34Z
dc.date.issued2023
dc.description.abstractAt 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.
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.issue24
dc.description.openaccessGreen Published, hybrid
dc.description.publisherscopeInternational
dc.description.sponsorsWe thank G. Ricther and F. Thiele for help on sputtering, N. K. Subbaiah for help on Nanoscribe 3D microprinting, and C. Holm for discussions on the numerical model for the simulations. This work is funded by the Max Planck Society. G.G. thanks the International Max Planck ResearchSchool for Intelligent Systems for financial support. S.C. and K.P. thank the NSF Graduate Research Fellowship, the Fulbright Germany Scholarship, the NSF grant 2042411, the Packard Foundation Fellowship for Science and Engineering, and the Aref and Manon Lahham Faculty Fellowship.
dc.description.volume120
dc.identifier.doi10.1073/pnas.2221913120
dc.identifier.eissn1091-6490
dc.identifier.issn0027-8424
dc.identifier.quartileQ1
dc.identifier.scopus2-s2.0-85160979098
dc.identifier.urihttps://doi.org/10.1073/pnas.2221913120
dc.identifier.urihttps://hdl.handle.net/20.500.14288/23382
dc.identifier.wos1038063100013
dc.keywordsMicrorobotics
dc.keywordsSelf-organization
dc.keywordsRobot collectives
dc.keywordsHeterogeneity
dc.keywordsProgrammable self-assembly
dc.languageen
dc.publisherNational Academy of Sciences
dc.relation.grantnoMax Planck Society
dc.relation.grantnoInternational Max Planck ResearchSchool for Intelligent Systems
dc.relation.grantnoNSF Graduate Research Fellowship
dc.relation.grantnoFulbright Germany Scholarship
dc.relation.grantnoNSF [2042411]
dc.relation.grantnoPackard Foundation Fellowship for Science and Engineering
dc.relation.grantnoPackard Foundation
dc.relation.grantnoAref and Manon Lahham Faculty Fellowship
dc.sourceProceedings of the National Academy of Sciences of the United States of America
dc.subjectMultidisciplinary sciences
dc.titleProgrammable self-organization of heterogeneous microrobot collectives
dc.typeJournal article
dspace.entity.typePublication
local.contributor.kuauthorSitti, Metin
relation.isOrgUnitOfPublicationba2836f3-206d-4724-918c-f598f0086a36
relation.isOrgUnitOfPublication.latestForDiscoveryba2836f3-206d-4724-918c-f598f0086a36

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