Evidence map›Paper›PMID 41512075›Full record

ArticleScience advances2026

Self-reconfigurable robotic fish swarms: Collective achievement of diverse locomotion and challenging aquatic tasks.

Bowen Si, Liyao Chang, Shuai Li, Zhenyu Ding, Guangming Xie

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Bowen SiState Key Laboratory for Turbulence and Complex Systems, Intelligent Biomimetic Design Lab, School of Advanced Manufacturing and Robotics, Peking University, Beijing 100871, P. R. China.ORCID 0009-0003-3790-8557
Liyao ChangState Key Laboratory for Turbulence and Complex Systems, Intelligent Biomimetic Design Lab, School of Advanced Manufacturing and Robotics, Peking University, Beijing 100871, P. R. China.ORCID 0009-0005-8140-4676
Shuai LiState Key Laboratory for Turbulence and Complex Systems, Intelligent Biomimetic Design Lab, School of Advanced Manufacturing and Robotics, Peking University, Beijing 100871, P. R. China.ORCID 0000-0001-5510-8180
Zhenyu DingState Key Laboratory for Turbulence and Complex Systems, Intelligent Biomimetic Design Lab, School of Advanced Manufacturing and Robotics, Peking University, Beijing 100871, P. R. China.ORCID 0009-0001-1432-8117
Guangming XieState Key Laboratory for Turbulence and Complex Systems, Intelligent Biomimetic Design Lab, School of Advanced Manufacturing and Robotics, Peking University, Beijing 100871, P. R. China.ORCID 0000-0001-6504-0087

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional aquatic robots are typically constrained by fixed morphology and single-mode locomotion, limiting adaptability to unstructured environments. Inspired by the diverse fin-driven locomotion strategies of natural fish, we present a self-reconfigurable robotic fish swarm system capable of operating across a wide range of aquatic conditions and tasks. Each robotic fish unit features autonomous physical assembly and disassembly capabilities by electropermanent magnets, enabling both connection and intermodule communication, allowing the swarm to dynamically reconfigure its morphology. Systematic evaluation reveals that swarm configurations substantially outperform individual units in various locomotion performance, including stability, maneuverability, swimming speed, energy efficiency, and multimodal locomotion ability. The swarm also demonstrates collaborative capabilities in navigating through complex environments, manipulating obstacles, and transporting objects, both in laboratory and outdoor aquatic settings. This work provides a framework for aquatic robots to adapt to unstructured environments and complex tasks, contributing to the advancement of multifunctional, reconfigurable robotic systems.

Indexed as

FishesLocomotionRoboticsAnimalsAutonomous RobotsSwimming

Identifiers

PMID41512075
PMCPMC12787520

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.