Evidence map›Paper›PMID 37276400›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Programmable self-organization of heterogeneous microrobot collectives.

Steven Ceron, Gaurav Gardi, Kirstin Petersen, Metin Sitti

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Physical Intelligence in Small-Scale Robots and Machines.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  9. Review
  10. Millimeter-scale fluid-driven soft robots.National science review · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Programmable self-organization of heterogeneous microrobot collectives.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Steven CeronSibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853.ORCID 0000-0002-5903-9802
Gaurav GardiPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart 70569, Germany.ORCID 0000-0001-6811-4061
Kirstin PetersenElectrical and Computer Engineering, Cornell University, Ithaca, NY 14853.
Metin SittiPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, Stuttgart 70569, Germany.ORCID 0000-0001-8249-3854

Funding

National Science Foundation (NSF) 2042411
6 · The paper itself

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.

Indexed as

heterogeneitymicroroboticsprogrammable self-assemblyrobot collectivesself-organization

Identifiers

PMID37276400
PMCPMC10268276

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.