Evidence map›Paper›PMID 39565852›Full record

ArticleScience advances2024

Stiffness-tunable velvet worm-inspired soft adhesive robot.

Hyeongho Min, Daebeom Bae, Siyeon Jang, Sangmin Lee, Myungjin Park, Cem Balda Dayan, Jiwoong Choi, Keungyonh Bak, Yoosoo Yang, Sungwoo Chun and 1 more

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Future Frontiers in Bioinspired Implanted Biomaterials.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  9. Article
  10. 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

11 authors.

Hyeongho MinPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.ORCID 0009-0003-3349-3542
Daebeom BaeDepartment of Electronics and Information Engineering, Korea University, 30019 Sejong, Republic of Korea.
Siyeon JangPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.
Sangmin LeeDepartment of Electronics and Computer Engineering, Hanyang University, 04763 Seoul, Republic of Korea.ORCID 0009-0005-7656-4712
Myungjin ParkPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.ORCID 0000-0001-9616-1500
Cem Balda DayanPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.ORCID 0000-0002-6328-7868
Jiwoong ChoiMedicinal Materials Research Center, Biomedical Research Division, Korea Institute of Science and Technology, 02792 Seoul, Republic of Korea.
Keungyonh BakDepartment of Electronics and Information Engineering, Korea University, 30019 Sejong, Republic of Korea.
Yoosoo YangMedicinal Materials Research Center, Biomedical Research Division, Korea Institute of Science and Technology, 02792 Seoul, Republic of Korea.ORCID 0000-0003-3279-4362
Sungwoo ChunDepartment of Electronics and Information Engineering, Korea University, 30019 Sejong, Republic of Korea.ORCID 0000-0002-8533-0388
Metin SittiPhysical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.ORCID 0000-0001-8249-3854

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Considering the characteristics and operating environment of remotely controlled miniature soft robots, achieving delicate adhesion control over various target surfaces is a substantial challenge. In particular, the ability to delicately grasp wrinkled and soft biological and nonbiological surfaces with low preload without causing damage is essential. The proposed adhesive robotic system, inspired by the secretions from a velvet worm, uses a structured magnetorheological material that exhibits precise adhesion control with stability and repeatability by the rapid stiffness change controlled by an external magnetic field. The proposed adhesion protocol involves controlling soft-state adhesion, maintaining a large contact area, and enhancing the elastic modulus, and the mechanical structure enhances the effectiveness of this protocol. Demonstrations of the remote adhesive robot include stable transportation in soft and wet organs, unscrewing a nut from a bolt, and supporting mouse tumor removal surgery. These results indicate the potential applicability of the soft adhesive robot in biomedical engineering, especially for targeting small-scale biological tissues and organisms.

Indexed as

AdhesivesRoboticsAnimalsElastic ModulusEquipment DesignMiceAdhesives

Identifiers

PMID39565852
PMCPMC11578180

What OpenQuestion holds

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LicenceCC BY
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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.