Evidence map›Paper›PMID 36144045›Full record

ReviewMicromachines2022

Recent Advances in the Application of Piezoelectric Materials in Microrobotic Systems.

Alireza Fath, Tian Xia, Wei Li

Abstract readReview
In one paragraph

Review in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Micro- and Nano-Bots for Infection Control.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Bioinspired Stimuli-Responsive Materials for Soft Actuators.Biomimetics (Basel, Switzerland) · 2024
    Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. 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

3 authors.

Alireza FathDepartment of Mechanical Engineering, University of Vermont, 33 Colchester Ave., Burlington, VT 05405, USA.ORCID 0000-0003-0941-1431
Tian XiaDepartment of Electrical and Biomedical Engineering, University of Vermont, 33 Colchester Ave., Burlington, VT 05405, USA.
Wei LiDepartment of Mechanical Engineering, University of Vermont, 33 Colchester Ave., Burlington, VT 05405, USA.ORCID 0000-0002-1396-9692

Funding

National Science Foundation 2119485
6 · The paper itself

Abstract

Recent advances in precision manufacturing technology and a thorough understanding of the properties of piezoelectric materials have made it possible for researchers to develop innovative microrobotic systems, which draw more attention to the challenges of utilizing microrobots in areas that are inaccessible to ordinary robots. This review paper provides an overview of the recent advances in the application of piezoelectric materials in microrobots. The challenges of microrobots in the direction of autonomy are categorized into four sections: mechanisms, power, sensing, and control. In each section, innovative research ideas are presented to inspire researchers in their prospective microrobot designs according to specific applications. Novel mechanisms for the mobility of piezoelectric microrobots are reviewed and described. Additionally, as the piezoelectric micro-actuators require high-voltage electronics and onboard power supplies, we review ways of energy harvesting technology and lightweight micro-sensing mechanisms that contain piezoelectric devices to provide feedback, facilitating the use of control strategies to achieve the autonomous untethered movement of microrobots.

Indexed as

control systemsenergy harvestingmicroelectromechanical systemsmicrorobotic systemspiezoelectricsensing

Identifiers

PMID36144045
PMCPMC9501207

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.