Evidence map›Paper›PMID 34683300›Full record

ReviewMicromachines2021

A Review of Microrobot's System: Towards System Integration for Autonomous Actuation In Vivo.

Zhongyi Li, Chunyang Li, Lixin Dong, Jing Zhao

Abstract readReview
In one paragraph

Review in Micromachines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Phototaxis and Motility ofMicromachines · 2026
    Article
  4. Article
  5. Cell patterningMaterials today. Bio · 2026
    Article
  6. Metareview: a survey of active matter reviews.The European physical journal. E, Soft matter · 2025
    Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. 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

4 authors.

Zhongyi LiSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Chunyang LiSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.
Lixin DongDepartment of Biomedical Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong 999077, China.
Jing ZhaoSchool of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China.ORCID 0000-0002-0786-785X

Funding

National Key Research and Development Program of China 2019YFB1309701National Natural Science Foundation of China 61804009
6 · The paper itself

Abstract

Microrobots have received great attention due to their great potential in the biomedical field, and there has been extraordinary progress on them in many respects, making it possible to use them in vivo clinically. However, the most important question is how to get microrobots to a given position accurately. Therefore, autonomous actuation technology based on medical imaging has become the solution receiving the most attention considering its low precision and efficiency of manual control. This paper investigates key components of microrobot's autonomous actuation systems, including actuation systems, medical imaging systems, and control systems, hoping to help realize system integration of them. The hardware integration has two situations according to sharing the transmitting equipment or not, with the consideration of interference, efficiency, microrobot's material and structure. Furthermore, system integration of hybrid actuation and multimodal imaging can improve the navigation effect of the microrobot. The software integration needs to consider the characteristics and deficiencies of the existing actuation algorithms, imaging algorithms, and the complex 3D working environment in vivo. Additionally, considering the moving distance in the human body, the autonomous actuation system combined with rapid delivery methods can deliver microrobots to specify position rapidly and precisely.

Indexed as

autonomous actuation systemin vivomedical imagingmicrorobotsystem integration

Identifiers

PMID34683300
PMCPMC8540518

What OpenQuestion holds

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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.