Evidence map›Paper›PMID 41290640›Full record

ArticleNature communications2025

Soft magnetic microrobots with remote sensing and communication capabilities.

Quan Gao, Minsoo Kim, Denis von Arx, Elric Zhang, Xinzhi Zhang, Hao Ye, Christian Vogt, Claas Ehmke, Dianne Corsino, Federica Catania and 5 more

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Embodied Cross-Domain Intelligence in Biomedical Microrobots: A Review.Cyborg and bionic systems (Washington, D.C.) · 2026
    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

15 authors.

Quan Gao *Multi-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0003-1383-842X
Minsoo Kim *Multi-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland. minkim@ethz.ch.ORCID http://orcid.org/0000-0002-3478-1277
Denis von ArxMulti-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland.
Elric ZhangMulti-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland.
Xinzhi ZhangInstitute of Electromagnetic Fields, ETH Zurich, Zurich, Switzerland.
Hao YeMulti-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0003-3526-9627
Christian VogtCenter for Project-Based Learning, ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0003-4551-4876
Claas EhmkeMulti-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-0618-5945
Dianne CorsinoFaculty of Engineering, Free University of Bozen-Bolzano, Bozen-Bolzano, Italy.
Federica CataniaFaculty of Engineering, Free University of Bozen-Bolzano, Bozen-Bolzano, Italy.
Niko MünzenriederFaculty of Engineering, Free University of Bozen-Bolzano, Bozen-Bolzano, Italy.ORCID http://orcid.org/0000-0003-4653-5927
Michele MagnoCenter for Project-Based Learning, ETH Zurich, Zurich, Switzerland.
Giuseppe CantarellaDepartment of Physics, Informatics and Mathematics, University of Modena and Reggio Emilia, Modena, Italy.ORCID http://orcid.org/0000-0002-6398-601X
Bradley J NelsonMulti-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0001-9070-6987
Salvador PanéMulti-Scale Robotics Lab, Institute of Robotics and Intelligent Systems, ETH Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0003-0147-8287

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 197017
6 · The paper itself

Abstract

Remote communication in small-scale robotics offers a powerful way to enhance their capabilities, introducing options for state monitoring, multi-agent collaboration, and autonomous operation. Integrating common remote communication tools, such as antennas, into microrobots is challenging with conventional design and manufacturing techniques. We propose a concept that integrates shape-reconfigurable soft microrobots with flexible electronics, leveraging their elastic mechanical properties to enable remote communication. This approach, based on photolithography processes, is scalable and adaptable to various sensing applications. As a proof of concept, we present a microrobot, which integrates a thermoresponsive magnetic hydrogel, an anisotropic support structure, and a flexible dipole antenna into a cohesive three-layered design. The microrobot can morph from a helical shape at low-temperatures to a planar shape at high-temperatures. This shape transformation can be remotely detected by external radio communication receivers, enabling shape-state recognition and environmental temperature sensing. Furthermore, we show that the collective behavior of multiple microrobots enhances the recognition performance by amplifying the signal. The concept represents a significant advancement in co-engineering smart materials and flexible electronics, illustrating an approach of microrobotic embodied intelligence by integrating environmental monitoring, magnetic navigation, and remote signaling.

Identifiers

PMID41290640
PMCPMC12647796

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.