Evidence map›Paper›PMID 41657730›Full record

ArticleFrontiers in medical technology2026

Low-Load endoluminal navigation with a magnetically actuated medical soft microrobot.

Julio Guerra, Andrei Malchikov, Sergey Jatsun, Petr Ryapolov, Andres Santiago Martinez-Leon

Abstract read
In one paragraph

Article in Frontiers in medical technology, 2026. 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

5 authors.

Julio GuerraFacultad de Ingeniería en Ciencias Aplicadas, Universidad Técnica del Norte, Ibarra, Ecuador.
Andrei MalchikovDepartment of Mechanics, Mechatronics and Robotics, South-West State University, Kursk, Russia.
Sergey JatsunDepartment of Mechanics, Mechatronics and Robotics, South-West State University, Kursk, Russia.
Petr RyapolovDepartment of Nanotechnologies, Microelectronis, General and Applied Physics, South-West State University, Kursk, Russia.
Andres Santiago Martinez-LeonDepartment of Earth Sciences, Universidad Estatal Amazónica, Pastaza, Ecuador.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Minimally invasive endoluminal interventions increasingly rely on magnetic actuation to navigate narrow lumens while limiting wall loads. Here we present a contact-aware control framework for steering a deformable, silicone-based soft microrobot with embedded magnetic particles using an externally positioned permanent magnet. We develop a dynamic model capturing viscous drag, nonlinear frictional loads, and viscoelastic wall contact, and implement a closed-loop architecture that combines vision-based state estimation with model-based force inference while optimizing magnet orientation to regulate the force vector and normal reaction. Performance is evaluated in simulation and on a benchtop testbed across three control modes. In the nominal-case benchmark, force-plus-angle control reduced the root-mean-square tracking error from 4.8 to 2.1 mm (-56%), decreased peak tracking error from 14.6 to 8.0 mm (-45%), lowered the integrated performance index from 4.4 × 10

Indexed as

autonomousmotion control systemmagnetically actuated microrobotsmagneticparticle-embedded polymersminimally invasive medical devicesnonlinear contact dynamicssoft magnetic microrobots

Identifiers

PMID41657730
PMCPMC12876258

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.