Evidence map›Paper›PMID 35851279›Full record

ArticleNature communications2022

Milli-scale cellular robots that can reconfigure morphologies and behaviors simultaneously.

Xiong Yang, Rong Tan, Haojian Lu, Toshio Fukuda, Yajing Shen

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. The Morphological, Behavioral, and Transcriptomic Life Cycle of Anthrobots.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
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  10. Article
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  12. Review
  13. Article
  14. Article
  15. Magnetic Microrobots Fabricated by Photopolymerization and Assembly.Cyborg and bionic systems (Washington, D.C.) · 2023
    Article
  16. 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

5 authors.

Xiong YangDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.ORCID 0000-0002-0696-9651
Rong TanDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.
Haojian LuDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China.ORCID 0000-0002-1393-3040
Toshio FukudaDepartment of Micro-Nano Systems Engineering, Nagoya University, Nagoya, Japan.
Yajing ShenDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong, China. eeyajing@ust.hk.ORCID 0000-0001-5799-7524

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modular robot that can reconfigure architectures and functions has advantages in unpredicted environment and task. However, the construction of modular robot at small-scale remains a challenge since the lack of reliable docking and detaching strategies. Here we report the concept of milli-scale cellular robot (mCEBOT) achieved by the heterogeneous assembly of two types of units (short and long units). Under the magnetic field, the proposed mCEBOT units can not only selectively assemble (e.g., end-by-end and side-by-side) into diverse morphologies corresponding to the unstructured environments, but also configure multi-modes motion behaviors (e.g., slipping, rolling, walking and climbing) based on the on-site task requirements. We demonstrate its adaptive mobility from narrow space to high barrier to wetting surface, and its potential applications in hanging target taking and environment exploration. The concept of mCEBOT offers new opportunities for robot design, and will broaden the field of modular robot in both miniaturization and functionalization.

Indexed as

RoboticsMagnetic FieldsMiniaturizationMotionWalking

Identifiers

PMID35851279
PMCPMC9293897

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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.