Evidence map›Paper›PMID 42218162›Full record

ArticleNature communications2026

Emergent and controllable behaviors of Janus swarmalator collectives.

Steven Ceron, Wei Xiao, Holden Watson, Daniela Rus

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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 Ceron *Robotics Department, University of Michigan, Ann Arbor, MI, USA.ORCID http://orcid.org/0000-0002-5903-9802
Wei Xiao *Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-9622-6415
Holden Watson *Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA, USA.
Daniela RusComputer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology, Cambridge, MA, USA. rus@csail.mit.edu.ORCID http://orcid.org/0000-0001-5473-3566

Funding

United States Department of Defense | United States Navy | Office of Naval Research (ONR) N00014-18-1-2830
6 · The paper itself

Abstract

Previous swarmalator models have uncovered diverse behaviors, but they have assumed that agents interact through a single internal phase variable and are point-like particles, but most natural and robot swarms consist of agents with multiple internal coupling states and have bodies that take up space. Here, we study swarmalators that are space-filling, exhibit an orientation, have multiple spatially separated internal phases, and exhibit asymmetric phase coupling. We focus on the simplest case, where agents couple through two internal phases and demonstrate that this can be used to mimic the behaviors of real-world Janus swarmalators, but demonstrate that the model extends to any number of phases and characterize the behaviors for three, four, and five-phase agents as well as explore how the behaviors change when the model is extended to 3D. We also consider the inverse problem and exploit the control barrier function method to enable global and local control strategies. These strategies enable desired spatial orientation and motion that allow collectives to automatically traverse a complex environment while avoiding obstacles. We characterize several unexpected emergent collective behaviors and demonstrate how a swarmalator collective might be controlled to safely navigate complex environments.

Identifiers

PMID42218162
PMCPMC13392068

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.