Evidence map›Paper›PMID 34568796›Full record

ReviewiScience2021

Biology and bioinspiration of soft robotics: Actuation, sensing, and system integration.

Luquan Ren, Bingqian Li, Guowu Wei, Kunyang Wang, Zhengyi Song, Yuyang Wei, Lei Ren, Qingping Liu

Abstract readReview
In one paragraph

Review in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Robotic Materials With Bioinspired Microstructures for High Sensitivity and Fast Actuation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
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  15. Review
  16. Article
  17. 3D Printing Soft Matters and Applications: A Review.International journal of molecular sciences · 2022
    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

8 authors.

Luquan RenKey Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun 130022, China.
Bingqian LiKey Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun 130022, China.
Guowu WeiSchool of Science, Engineering and Environment, University of Salford, M5 4WT Salford, UK.
Kunyang WangKey Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun 130022, China.
Zhengyi SongKey Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun 130022, China.
Yuyang WeiSchool of Mechanical, Aerospace and Civil Engineering, University of Manchester, M13 9PL Manchester, UK.
Lei RenKey Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun 130022, China.
Qingping LiuKey Laboratory of Bionic Engineering (Ministry of Education), Jilin University, Changchun 130022, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organisms in nature grow with senses, nervous, and actuation systems coordinated in ingenious ways to sustain metabolism and other essential life activities. The understanding of biological structures and functions guide the construction of soft robotics with unprecedented performances. However, despite the progress in soft robotics, there still remains a big gap between man-made soft robotics and natural lives in terms of autonomy, adaptability, self-repair, durability, energy efficiency, etc. Here, the actuation and sensing strategies in the natural biological world are summarized along with their man-made counterparts applied in soft robotics. The development trends of bioinspired soft robotics toward closed loop and embodiment are proposed. Challenges for obtaining autonomous soft robotics similar to natural organisms are outlined to provide a perspective in this field.

Identifiers

PMID34568796
PMCPMC8449090

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.