Evidence map›Paper›PMID 38675303›Full record

ReviewMicromachines2024

Recent Advances in Microrobots Powered by Multi-Physics Field for Biomedical and Environmental Applications.

Xiangyu Teng, Zezheng Qiao, Shuxuan Yu, Yujie Liu, Xinyu Lou, Huanbin Zhang, Zhixing Ge, Wenguang Yang

Abstract readReview
In one paragraph

Review in Micromachines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Xiangyu TengSchool of Electromechanical and Automotive Engineering, Yantai University, Yantai 264005, China.
Zezheng QiaoSchool of Electromechanical and Automotive Engineering, Yantai University, Yantai 264005, China.
Shuxuan YuSchool of Electromechanical and Automotive Engineering, Yantai University, Yantai 264005, China.
Yujie LiuSchool of Electromechanical and Automotive Engineering, Yantai University, Yantai 264005, China.
Xinyu LouSchool of Electromechanical and Automotive Engineering, Yantai University, Yantai 264005, China.
Huanbin ZhangSchool of Electromechanical and Automotive Engineering, Yantai University, Yantai 264005, China.
Zhixing GeState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China.ORCID 0000-0001-7459-2115
Wenguang YangSchool of Electromechanical and Automotive Engineering, Yantai University, Yantai 264005, China.ORCID 0000-0002-1560-665X

Funding

National Natural Science Foundation of China 62273289The Youth Innovation Science and Technology Support Program of Shandong Province 2022KJ274
6 · The paper itself

Abstract

Microrobots powered by multi-physics fields are becoming a hotspot for micro-nano manufacturing. Due to the small size of microrobots, they can easily enter small spaces that are difficult for ordinary robots to reach and perform a variety of special tasks. This gives microrobots a broad application prospect in many fields. This paper describes the materials, structures, and driving principles of microrobots in detail and analyzes the advantages and limitations of their driving methods in depth. In addition, the paper discusses the detailed categorization of the action forms of microrobots and explores their diversified motion modes and their applicable scenarios. Finally, the article highlights the wide range of applications of microrobots in the fields of biomedicine and environmental protection, emphasizing their great potential for solving real-world problems and advancing scientific progress.

Indexed as

biomedical applicationsmicrorobotsmotion formssoft actuator

Identifiers

PMID38675303
PMCPMC11051856

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.