Evidence map›Paper›PMID 40707467›Full record

ArticleNature communications2025

Untethered soft microrobot driven by a single actuator for agile navigations.

Yichuan Wu, Lai Cao, Guobin Lu, Peng Wang, Longqi Ran, Bei Peng

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  5. Review
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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

6 authors.

Yichuan WuSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China. yichuanwu@uestc.edu.cn.ORCID http://orcid.org/0000-0003-2800-863X
Lai CaoSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Guobin LuSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Peng WangDepartment of Mechanical Engineering, Tsinghua University, Beijing, 100084, China.
Longqi RanSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Bei PengSchool of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52005083Sichuan Provincial Department of Science and Technology | Sichuan Province Science and Technology Support Program 2024NSFSC0144
6 · The paper itself

Abstract

Cockroaches are renowned for their ability to swiftly navigate through tight spaces and robustly withstand high impacts due to their well-controlled locomotion and highly flexible exoskeletons. It has been a long-standing challenge to replicate these features in untethered controllable microrobots (weighing~1 g). Here, we show that a single actuator is used to tune a microrobot's leg strokes for controllable movements in various directions (forward, backward, and diagonal). Weighing just over 1 g and measuring 2 cm in length, the untethered microrobot achieves a forward speed of 4.8 body lengths per second (BL/s) and a turning speed of 280 deg/s, resulting in an outstanding maneuverability that has only previously been achieved in multiply-actuated microrobots. The untethered microrobot can remain functional after being stepped on. The single actuator driving scheme, device structural architecture, and control techniques are investigated as key guidance for the development of future controllable and resilient miniaturized robots.

Identifiers

PMID40707467
PMCPMC12289970

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.