Evidence map›Paper›PMID 40707471›Full record

ArticleNature communications2025

Muscle-inspired elasto-electromagnetic mechanism in autonomous insect robots.

Changyu Xu, Yajun Cao, Jingyang Zhao, Yujia Cao, Yi Huang, Yangyi Lin, Dong Wang, Zhuang Zhang, Hanqing Jiang

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Physical Intelligence in Small-Scale Robots and Machines.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  7. Article
  8. Nature-Inspired Innovation in Electrical Engineering Technologies and Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  9. 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.

Changyu Xu *School of Engineering, Westlake University, Hangzhou, Zhejiang, China.ORCID http://orcid.org/0000-0002-5771-3664
Yajun Cao *School of Engineering, Westlake University, Hangzhou, Zhejiang, China.
Jingyang ZhaoSchool of Engineering, Westlake University, Hangzhou, Zhejiang, China.ORCID http://orcid.org/0000-0002-3566-3336
Yujia CaoSchool of Engineering, Westlake University, Hangzhou, Zhejiang, China.
Yi HuangWestlake Interactive Robot Technology (Hangzhou) Co. Ltd, Hangzhou, Zhejiang, China.
Yangyi LinSchool of Engineering, Westlake University, Hangzhou, Zhejiang, China.
Dong WangCollege of Electrical Engineering, Sichuan University, Chengdu, Sichuan, China.ORCID http://orcid.org/0000-0001-6074-8043
Zhuang ZhangSchool of Engineering, Westlake University, Hangzhou, Zhejiang, China.ORCID http://orcid.org/0000-0002-3834-3477
Hanqing JiangSchool of Engineering, Westlake University, Hangzhou, Zhejiang, China. hanqing.jiang@westlake.edu.cn.ORCID http://orcid.org/0000-0002-1947-4420

Funding

National Natural Science Foundation of China (National Science Foundation of China) 12350003
6 · The paper itself

Abstract

In nature, the dynamic contraction and relaxation of muscle in animals provide the essential force and deformation necessary for diverse locomotion, enabling them to navigate and overcome environmental challenges. However, most autonomous robotic systems still rely on conventional rigid motors, lacking the adaptability and resilience of muscle-like actuators. Existing artificial muscles, while promising for soft actuation, often require demanding operational conditions that hinder their use in onboard-powered small autonomous systems. In this work, we present the Elasto-Electromagnetic mechanism, an electromagnetic actuation strategy tailored for soft robotics. By structuring simple elastomeric materials, this mechanism mimics key features of biological muscle contraction and optimizes actuation properties. It achieves significant output force (~210 N/kg), large contraction ratio (up to 60%), rapid response (60 Hz), and low-voltage operation (<4 volts) within a robust, miniaturized framework. It also enhances energy efficiency by maintaining stable states without continuous power input, similar to catch muscles in mollusks. The resulting insect-scale soft robots, therefore, demonstrate adaptive crawling, swimming, and jumping, autonomously navigating open-field environments. This muscle-inspired electromagnetic mechanism, facilitated by elastic structural variations, expands the autonomy and functional capabilities of small-scale soft robots, with potential applications in rescue and critical signal detection.

Indexed as

InsectaMusclesRoboticsAnimalsBiomimeticsElectromagnetic PhenomenaLocomotionMuscle Contraction

Identifiers

PMID40707471
PMCPMC12289928

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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.