Evidence map›Paper›PMID 36198675›Full record

ReviewNature communications2022

3D-printed microrobots from design to translation.

Sajjad Rahmani Dabbagh, Misagh Rezapour Sarabi, Mehmet Tugrul Birtek, Siamak Seyfi, Metin Sitti, Savas Tasoglu

Abstract readReview
In one paragraph

Review in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

52 citing papers in PubMed.

  1. Review
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  16. Article
  17. Autonomous devices for drug delivery.Nature biomedical engineering · 2025
    Article
  18. Micro- and Nano-Bots for Infection Control.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  19. Article
  20. Metareview: a survey of active matter reviews.The European physical journal. E, Soft matter · 2025
    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

6 authors.

Sajjad Rahmani DabbaghDepartment of Mechanical Engineering, Koç University, Sariyer, Istanbul, 34450, Turkey.
Misagh Rezapour SarabiDepartment of Mechanical Engineering, Koç University, Sariyer, Istanbul, 34450, Turkey.ORCID 0000-0002-5295-5701
Mehmet Tugrul BirtekDepartment of Mechanical Engineering, Koç University, Sariyer, Istanbul, 34450, Turkey.
Siamak SeyfiDepartment of Mechanical Engineering, Koç University, Sariyer, Istanbul, 34450, Turkey.ORCID 0000-0001-7103-9912
Metin SittiDepartment of Mechanical Engineering, Koç University, Sariyer, Istanbul, 34450, Turkey. sitti@is.mpg.de.ORCID 0000-0001-8249-3854
Savas TasogluDepartment of Mechanical Engineering, Koç University, Sariyer, Istanbul, 34450, Turkey. stasoglu@ku.edu.tr.ORCID 0000-0003-4604-217X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microrobots have attracted the attention of scientists owing to their unique features to accomplish tasks in hard-to-reach sites in the human body. Microrobots can be precisely actuated and maneuvered individually or in a swarm for cargo delivery, sampling, surgery, and imaging applications. In addition, microrobots have found applications in the environmental sector (e.g., water treatment). Besides, recent advancements of three-dimensional (3D) printers have enabled the high-resolution fabrication of microrobots with a faster design-production turnaround time for users with limited micromanufacturing skills. Here, the latest end applications of 3D printed microrobots are reviewed (ranging from environmental to biomedical applications) along with a brief discussion over the feasible actuation methods (e.g., on- and off-board), and practical 3D printing technologies for microrobot fabrication. In addition, as a future perspective, we discussed the potential advantages of integration of microrobots with smart materials, and conceivable benefits of implementation of artificial intelligence (AI), as well as physical intelligence (PI). Moreover, in order to facilitate bench-to-bedside translation of microrobots, current challenges impeding clinical translation of microrobots are elaborated, including entry obstacles (e.g., immune system attacks) and cumbersome standard test procedures to ensure biocompatibility.

Indexed as

RoboticsSmart MaterialsArtificial IntelligenceHumansMicrotechnologyPrinting, Three-DimensionalSmart Materials

Identifiers

PMID36198675
PMCPMC9534872

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.