Evidence map›Paper›PMID 40852093›Full record

ArticleAdvanced intelligent systems (Weinheim an der Bergstrasse, Germany)2025

A Magnetically Transformable Twisting Millirobot for Cargo Delivery at Low Reynolds Number.

Moonkwang Jeong, Jiyuan Tian, Meng Zhang, Tian Qiu

Abstract read
In one paragraph

Article in Advanced intelligent systems (Weinheim an der Bergstrasse, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Moonkwang JeongCyber Valley group - Biomedical Microsystems Institute of Physical Chemistry University of Stuttgart Pfaffenwaldring 55 70569 Stuttgart Germany.ORCID https://orcid.org/0000-0003-3731-1833
Jiyuan TianDivision of Smart Technologies for Tumor Therapy German Cancer Research Center (DKFZ) Site Dresden Blasewitzer Str. 80 01307 Dresden Germany.ORCID https://orcid.org/0009-0003-4467-3776
Meng ZhangDivision of Smart Technologies for Tumor Therapy German Cancer Research Center (DKFZ) Site Dresden Blasewitzer Str. 80 01307 Dresden Germany.ORCID https://orcid.org/0000-0002-6154-3995
Tian QiuDivision of Smart Technologies for Tumor Therapy German Cancer Research Center (DKFZ) Site Dresden Blasewitzer Str. 80 01307 Dresden Germany.ORCID https://orcid.org/0000-0003-0932-5605

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inspired by bacteria flagella, miniature robots often use a helical shape to propel themselves in fluids at low Reynolds numbers. The helical microstructures in the robots are often rigid and are made by advanced 3D micro-/nanofabrication techniques. However, it remains challenging to fabricate these 3D helical structures without complicated machinery. Herein, for the first time, a magnetically transformable millirobot-TwistBot-with a flexible body that can transform from a simple flat ribbon to a helical shape under an applied magnetic field is reported, enabling its propulsion in viscous fluids. The robot's twisting is modeled using numerical simulation and its geometry is optimized to maximize the twist angle. The unique shape transformation not only allows the propulsion through narrow lumens but also facilitates TwistBot in carrying and delivering solid cargo successfully to the target. The concept of the TwistBot opens new opportunities in designing soft transformable minirobots for targeted cargo delivery.

Indexed as

cargo deliveryflexible bodyhelical propellermagnetic actuationmagnetic transformationsoft miniature robots

Identifiers

PMID40852093
PMCPMC12370169

What OpenQuestion holds

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LicenceCC BY
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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.