Evidence map›Paper›PMID 40920923›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

A geometric condition for robot-swarm cohesion and cluster-flock transition.

Mathias Casiulis, Eden Arbel, Charlotte van Waes, Yoav Lahini, Stefano Martiniani, Naomi Oppenheimer, Matan Yah Ben Zion

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Mathias CasiulisCenter for Soft Matter Research, Department of Physics, New York University, New York, NY 10003.
Eden ArbelDepartment of Condensed Matter Physics, School of Physics and Astronomy, Center for Physics, Chemistry of Living Systems, Tel Aviv University, Tel Aviv 6997801, Israel.ORCID 0009-0006-4323-5987
Charlotte van WaesDepartment of Artificial Intelligence, Donders Center for Cognition, Radboud University, Nijmegen, GD 6525, Netherlands.
Yoav LahiniDepartment of Condensed Matter Physics, School of Physics and Astronomy, Center for Physics, Chemistry of Living Systems, Tel Aviv University, Tel Aviv 6997801, Israel.ORCID 0000-0002-5952-7144
Stefano MartinianiCenter for Soft Matter Research, Department of Physics, New York University, New York, NY 10003.ORCID 0000-0003-2028-2175
Naomi OppenheimerDepartment of Condensed Matter Physics, School of Physics and Astronomy, Center for Physics, Chemistry of Living Systems, Tel Aviv University, Tel Aviv 6997801, Israel.ORCID 0000-0002-8212-3404
Matan Yah Ben ZionDepartment of Artificial Intelligence, Donders Center for Cognition, Radboud University, Nijmegen, GD 6525, Netherlands.ORCID 0000-0002-9876-787X

Funding

Israel Science Foundation (ISF) 2117/22NWO | Exacte en Natuurwetenschappen (ENW) 024.005.022
6 · The paper itself

Abstract

We present a geometric design rule for size-controlled clustering of self-propelled particles. We show that active particles that tend to rotate under an external force have an intrinsic, signed parameter with units of curvature which we call curvity, that can be derived from first principles. Experiments with robots and numerical simulations show that properties of individual robots (radius and curvity) control pair cohesion in a binary system, and the stability of flocking and self-limiting clustering in a swarm, with applications in metamaterials and in embodied decentralized control.

Indexed as

active matterdecentralized controlflockingrobot swarmself-limiting clustering

Identifiers

PMID40920923
PMCPMC12452893

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.