Evidence map›Paper›PMID 42842681›Full record

ArticleScience advances2026

Minimal-actuation feather star-inspired soft swimmers for multimodal 3D maneuverability.

Haitao Qing, Yuanhang Zhu, Jiacheng Guo, Caizhi Zhou, Haoze Sun, Haibo Dong, Daniel Quinn, Jie Yin

Abstract read
In one paragraph

Article in Science advances, 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

8 authors.

Haitao QingDepartment of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695, USA.ORCID 0000-0003-3624-478X
Yuanhang ZhuDepartment of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, VA 22903, USA.ORCID 0000-0002-2080-1142
Jiacheng GuoDepartment of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, VA 22903, USA.ORCID 0000-0003-3238-4275
Caizhi ZhouDepartment of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695, USA.ORCID 0000-0002-9191-059X
Haoze SunDepartment of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695, USA.ORCID 0009-0002-1219-9865
Haibo DongDepartment of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, VA 22903, USA.ORCID 0000-0001-7823-7014
Daniel QuinnDepartment of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, VA 22903, USA.ORCID 0000-0002-5835-5221
Jie YinDepartment of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695, USA.ORCID 0000-0002-6297-1262

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complex, three-dimensional (3D) motions typically require actuator arrays and complex control architectures. Here, we present a feather star-inspired soft robotic swimmer that uses only two pneumatic inputs to produce three distinct and switchable swimming modes: jellyfish-like pulsation, fishlike propulsion, and rotor-like reorientation. The robot owes this ability to mechanical intelligence: It leverages a monostable instability in its flexible arms to convert two control actuation inputs into 3D swimming modes, including ascension and descension, forward and backward swimming, hovering, and rotation. The robot achieves a maximum swimming speed of 1.64 body lengths per second, minimum cost of transport of 17.6, and peak rotation speed of 90° per second. Particle image velocimetry analyses and computational fluid dynamics simulations reveal distinct vortex structures governing thrust generation and/or rotational torque in each swimming mode. The robot's minimal input yet multimodal output demonstrates how mechanical intelligence can enable adaptive and multifunctional, yet simple and energy-efficient, robotic and biological swimming mechanisms.

Identifiers

PMID42842681
PMCPMC13644798

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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.