Evidence map›Paper›PMID 38245517›Full record

ArticleNature communications2024

A magnetic multi-layer soft robot for on-demand targeted adhesion.

Ziheng Chen, Yibin Wang, Hui Chen, Junhui Law, Huayan Pu, Shaorong Xie, Feng Duan, Yu Sun, Na Liu, Jiangfan Yu

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
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  6. Article
  7. Review
  8. The Role of Extracted Free Chains in Adhesion on Soft Gel Surfaces.Langmuir : the ACS journal of surfaces and colloids · 2026
    Article
  9. Miniature Soft Robot With Magnetically Reprogrammable Surgical Functions.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Multifunctional and Reprogrammable Magnetoactive Graphene Oxide Origami.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    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

10 authors.

Ziheng Chen *School of Mechatronics Engineering and Automation, Shanghai University, Shanghai, 200444, China.ORCID 0000-0001-9970-5243
Yibin Wang *School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, 518172, China.
Hui ChenSchool of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, 518172, China.
Junhui LawSchool of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, 518172, China.ORCID 0000-0002-6033-7639
Huayan PuSchool of Mechatronics Engineering and Automation, Shanghai University, Shanghai, 200444, China.ORCID 0000-0001-9830-3955
Shaorong XieSchool of Computer Engineering and Science, Shanghai University, Shanghai, 200444, China.ORCID 0000-0002-8016-9310
Feng DuanDepartment of Interventional Radiology, Chinese PLA General Hospital, Beijing, 100853, China.
Yu SunDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, M5S 3G8, Canada.ORCID 0000-0001-7895-0741
Na LiuSchool of Mechatronics Engineering and Automation, Shanghai University, Shanghai, 200444, China. liuna_sia@shu.edu.cn.ORCID 0009-0003-9872-3476
Jiangfan YuSchool of Science and Engineering, The Chinese University of Hong Kong, Shenzhen, 518172, China. yujiangfan@cuhk.edu.cn.ORCID 0000-0002-7981-6744

Funding

National Natural Science Foundation of China (National Science Foundation of China) 61933008National Natural Science Foundation of China (National Science Foundation of China) 62073208National Natural Science Foundation of China (National Science Foundation of China) 62103347
6 · The paper itself

Abstract

Magnetic soft robots have shown great potential for biomedical applications due to their high shape reconfigurability, motion agility, and multi-functionality in physiological environments. Magnetic soft robots with multi-layer structures can enhance the loading capacity and function complexity for targeted delivery. However, the interactions between soft entities have yet to be fully investigated, and thus the assembly of magnetic soft robots with on-demand motion modes from multiple film-like layers is still challenging. Herein, we model and tailor the magnetic interaction between soft film-like layers with distinct in-plane structures, and then realize multi-layer soft robots that are capable of performing agile motions and targeted adhesion. Each layer of the robot consists of a soft magnetic substrate and an adhesive film. The mechanical properties and adhesion performance of the adhesive films are systematically characterized. The robot is capable of performing two locomotion modes, i.e., translational motion and tumbling motion, and also the on-demand separation with one side layer adhered to tissues. Simulation results are presented, which have a good qualitative agreement with the experimental results. The feasibility of using the robot to perform multi-target adhesion in a stomach is validated in both ex-vivo and in-vivo experiments.

Indexed as

RoboticsComputer SimulationHumansMagnetic PhenomenaMotionPhysical PhenomenaTissue Adhesions

Identifiers

PMID38245517
PMCPMC10799857

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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.