Evidence map›Paper›PMID 37614630›Full record

ReviewFrontiers in bioengineering and biotechnology2023

Recent progress on underwater soft robots: adhesion, grabbing, actuating, and sensing.

Yeming Zhang, Demin Kong, Yan Shi, Maolin Cai, Qihui Yu, Shuping Li, Kai Wang, Chuangchuang Liu

Abstract readReview
In one paragraph

Review in Frontiers in bioengineering and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. A Magnetic-Driven Self-Rotation-Stabilized Miniature Swimming Robot.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Review
  3. Review
  4. Vacuum-Laser Fabrication of Programmable Soft Actuators.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. 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.

Yeming ZhangSchool of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo, China.
Demin KongSchool of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo, China.
Yan ShiSchool of Automation Science and Electrical Engineering, Beihang University, Beijing, China.
Maolin CaiSchool of Automation Science and Electrical Engineering, Beihang University, Beijing, China.
Qihui YuSchool of Mechanical Engineering, Inner Mongolia University of Science and Technology, Baotou, China.
Shuping LiSchool of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo, China.
Kai WangSchool of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo, China.
Chuangchuang LiuSchool of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The research on biomimetic robots, especially soft robots with flexible materials as the main structure, is constantly being explored. It integrates multi-disciplinary content, such as bionics, material science, mechatronics engineering, and control theory, and belongs to the cross-disciplinary field related to mechanical bionics and biological manufacturing. With the continuous development of various related disciplines, this area has become a hot research field. Particularly with the development of practical technologies such as 3D printing technology, shape memory alloy, piezoelectric materials, and hydrogels at the present stage, the functions and forms of soft robots are constantly being further developed, and a variety of new soft robots keep emerging. Soft robots, combined with their own materials or structural characteristics of large deformation, have almost unlimited degrees of freedom (DoF) compared with rigid robots, which also provide a more reliable structural basis for soft robots to adapt to the natural environment. Therefore, soft robots will have extremely strong adaptability in some special conditions. As a type of robot made of flexible materials, the changeable pose structure of soft robots is especially suitable for the large application environment of the ocean. Soft robots working underwater can better mimic the movement characteristics of marine life in the hope of achieving more complex underwater tasks. The main focus of this paper is to classify different types of underwater organisms according to their common motion modes, focusing on the achievements of some bionic mechanisms in different functional fields that have imitated various motion modes underwater in recent years (e.g., the underwater sucking glove, the underwater Gripper, and the self-powered soft robot). The development of various task types (e.g., grasping, adhesive, driving or swimming, and sensing functions) and mechanism realization forms of the underwater soft robot are described based on this article.

Indexed as

bioinspired roboticsbiomimeticssoft manipulatorsoft roboticsunderwater manipulationunderwater robot

Identifiers

PMID37614630
PMCPMC10442648

What OpenQuestion holds

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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.