Evidence map›Paper›PMID 41481723›Full record

ArticleScience advances2026

Adaptive multimodal swimming gaits in a reconfigurable modular soft robotic fish.

Bo Wang, Lei Li, Mengfan Xu, Nannan Hu, Wenzhuo Gao, Jie Zhang, Bo Yin, Zhanhua Xin, Junzhi Yu

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. 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. Review
  2. Review
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

9 authors.

Bo WangState Key Laboratory for Turbulence and Complex Systems, School of Advanced Manufacturing and Robotics, Peking University, Beijing 100871, China.ORCID 0000-0002-7233-0477
Lei LiState Key Laboratory for Turbulence and Complex Systems, School of Advanced Manufacturing and Robotics, Peking University, Beijing 100871, China.ORCID 0000-0001-5650-4513
Mengfan XuInstitute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China.ORCID 0000-0001-6901-2278
Nannan HuState Key Laboratory for Turbulence and Complex Systems, School of Advanced Manufacturing and Robotics, Peking University, Beijing 100871, China.
Wenzhuo GaoState Key Laboratory for Turbulence and Complex Systems, School of Advanced Manufacturing and Robotics, Peking University, Beijing 100871, China.
Jie ZhangSchool of Mechanics and Aerospace Engineering, Dalian University of Technology, Dalian 116024, China.ORCID 0000-0002-2178-0558
Bo YinInstitute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China.ORCID 0000-0001-8267-8939
Zhanhua XinState Key Laboratory for Turbulence and Complex Systems, School of Advanced Manufacturing and Robotics, Peking University, Beijing 100871, China.ORCID 0009-0009-7095-0371
Junzhi YuState Key Laboratory for Turbulence and Complex Systems, School of Advanced Manufacturing and Robotics, Peking University, Beijing 100871, China.ORCID 0000-0002-6347-572X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fish swim with four main gaits-anguilliform, subcarangiform, carangiform, and thunniform-produced by waves along varying portions of the body. However, how muscle activation length influences swimming performance remains poorly understood. We present a reconfigurable robotic fish that replicates all four gaits in a single platform by rapidly tuning its body stiffness. Vacuum-driven layer jamming muscles in four tensegrity joints enable quick (≤1 s) stiffness modulation (stiffness ratio of 46.6) and gait switching. In thunniform gait, the robot reaches 1.24 body lengths per second, whereas in anguilliform gait, it achieves agile maneuvering with a turning radius of 0.26 body lengths. Fluid simulations show that the thunniform gait generates stronger vortices and 142% more thrust compared with anguilliform motion at 5 Hz, explaining its high-speed performance. The robot dynamically adapts gaits during locomotion-using thunniform for fast traversal and anguilliform for obstacle negotiation-demonstrating environmental adaptability. This work advances understanding of aquatic multimodal locomotion.

Indexed as

FishesGaitRoboticsSwimmingAnimalsBiomechanical Phenomena

Identifiers

PMID41481723
PMCPMC12758535

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.