Evidence map›Paper›PMID 40853514›Full record

ArticleNano-micro letters2025

An Ultrasonic Microrobot Enabling Ultrafast Bidirectional Navigation in Confined Tubular Environments.

Meng Cui, Liyun Zhen, Xingyu Bai, Lihan Yu, Xuhao Chen, Jingquan Liu, Qingkun Liu, Bin Yang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nano-micro letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Meng CuiNational Key Laboratory of Advanced Micro and Nano Manufacture Technology, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China.
Liyun ZhenNational Key Laboratory of Advanced Micro and Nano Manufacture Technology, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China.
Xingyu BaiNational Key Laboratory of Advanced Micro and Nano Manufacture Technology, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China.
Lihan YuNational Key Laboratory of Advanced Micro and Nano Manufacture Technology, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China.
Xuhao ChenNational Key Laboratory of Advanced Micro and Nano Manufacture Technology, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China.
Jingquan LiuNational Key Laboratory of Advanced Micro and Nano Manufacture Technology, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China.
Qingkun LiuNational Key Laboratory of Advanced Micro and Nano Manufacture Technology, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China.
Bin YangNational Key Laboratory of Advanced Micro and Nano Manufacture Technology, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China. binyang@sjtu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pipelines are extensively used in environments such as nuclear power plants, chemical factories, and medical devices to transport gases and liquids. These tubular environments often feature complex geometries, confined spaces, and millimeter-scale height restrictions, presenting significant challenges to conventional inspection methods. Here, we present an ultrasonic microrobot (weight, 80 mg; dimensions, 24 mm × 7 mm; thickness, 210 μm) to realize agile and bidirectional navigation in narrow pipelines. The ultrathin structural design of the robot is achieved through a high-performance piezoelectric composite film microstructure based on MEMS technology. The robot exhibits various vibration modes when driven by ultrasonic frequency signals, its motion speed reaches 81 cm s

Indexed as

Bidirectional locomotionConfined pipeline inspectionMEMS fabricationPiezoelectric composite film microstructureUltrasonic microrobot

Identifiers

PMID40853514
PMCPMC12378850

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.