Evidence map›Paper›PMID 42702614›Full record

ArticleNature communications2026

Controlled flight of high-thrust ultralight ion-propelled microrobot with integrated sensing.

Qiannan Tao, Yang Gu, Xinshuai Wang, Zhi Chen, Fei Lv, Fu Xu, Tahir Bashir, Yu Zheng, Yunqi Cao, Xianfa Cai and 3 more

Abstract read
In one paragraph

Article in Nature communications, 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

13 authors.

Qiannan Tao *College of Integrated Circuit Science and Engineering, State Key Laboratory of Flexible Electronics (LoFE), Nanjing University of Posts and Telecommunications, Nanjing, China.ORCID http://orcid.org/0009-0009-4314-7217
Yang Gu *School of Electronics Science and Engineering, Nanjing University, Nanjing, China.
Xinshuai WangCollege of Integrated Circuit Science and Engineering, State Key Laboratory of Flexible Electronics (LoFE), Nanjing University of Posts and Telecommunications, Nanjing, China.
Zhi ChenCollege of Integrated Circuit Science and Engineering, State Key Laboratory of Flexible Electronics (LoFE), Nanjing University of Posts and Telecommunications, Nanjing, China.
Fei LvCollege of Integrated Circuit Science and Engineering, State Key Laboratory of Flexible Electronics (LoFE), Nanjing University of Posts and Telecommunications, Nanjing, China.
Fu XuCollege of Integrated Circuit Science and Engineering, State Key Laboratory of Flexible Electronics (LoFE), Nanjing University of Posts and Telecommunications, Nanjing, China.
Tahir BashirCollege of Integrated Circuit Science and Engineering, State Key Laboratory of Flexible Electronics (LoFE), Nanjing University of Posts and Telecommunications, Nanjing, China.
Yu ZhengCollege of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China.
Yunqi CaoCollege of Control Science and Engineering, Zhejiang University, Hangzhou, China.
Xianfa CaiCollege of Integrated Circuit Science and Engineering, State Key Laboratory of Flexible Electronics (LoFE), Nanjing University of Posts and Telecommunications, Nanjing, China.ORCID http://orcid.org/0000-0003-2857-8923
Khadga ThakuriCollege of Engineering and Mathematical Sciences, University of Vermont, Burlington, VT, USA.
Bin HanState Key Laboratory of Intelligent Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China.ORCID http://orcid.org/0000-0002-0049-822X
Wei LiCollege of Integrated Circuit Science and Engineering, State Key Laboratory of Flexible Electronics (LoFE), Nanjing University of Posts and Telecommunications, Nanjing, China. wei.li@njupt.edu.cn.ORCID http://orcid.org/0000-0002-1396-9692

Funding

National Science Foundation (NSF) EPSCoR-2119485
6 · The paper itself

Abstract

Ion wind technology holds potential for the miniaturization of flying microrobots, generating thrust without mechanical moving parts, enabling simplified and light designs free from high-frequency actuators. Nevertheless, two fundamental challenges have limited its practical implementation: insufficient payload capacity and inadequate controllability, particularly in multi-degrees-of-freedom flight. Here, we demonstrated an inertial measurement unit-based closed-loop controlled flight of a light (36.7 mg) ion-propelled microrobot, achieving a thrust-to-weight ratio of 5:1 and 1-h long-endurance tethered hovering without mechanical actuators. Experimental validation indicates that the control strategy enhances stability, with a decrease of 83.11% and 89.21% in the root mean square error of pitch and roll angle, respectively. Leveraging origami-inspired design and cost-effective metal-polymer composites, our manufacturing approach enables the rapid assembly of complex microrobots at a disposable cost, overcoming a key barrier to practical swarm deployment. The microrobot's high load capability allows it to carry a high-fidelity image sensor and a fiber Bragg grating sensor while maintaining sufficient maneuverability to complete predefined tasks such as environmental surveillance and material identification. This work introduces an approach to autonomous microrobotic swarm flight, suggesting potential applications in confined-space surveillance, disaster rescue, and hazardous environment exploration.

Identifiers

PMID42702614
PMCPMC13547304

What OpenQuestion holds

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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.