Evidence map›Paper›PMID 40942325›Full record

ReviewPolymers2025

Advances and Applications of Bionic Design and Functional Integration in Underwater Soft Grippers.

Chaoqun Xiang, Hongsen Sun, Teng Wu, Ye Chen, Yanjie Wang, Tao Zou

Abstract readReview
In one paragraph

Review in Polymers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Chaoqun XiangSchool of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China.ORCID 0000-0001-6357-806X
Hongsen SunJiangsu Provincial Key Laboratory of Special Robot Technology, Hohai University, Changzhou 213022, China.
Teng WuJiangsu Provincial Key Laboratory of Special Robot Technology, Hohai University, Changzhou 213022, China.
Ye ChenCollege of Mechanical Engineering and Automation, Liaoning University of Technology, Jinzhou 121001, China.ORCID 0000-0001-5680-4401
Yanjie WangJiangsu Provincial Key Laboratory of Special Robot Technology, Hohai University, Changzhou 213022, China.
Tao ZouSchool of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China.

Funding

National Natural Science Foundation of China 52105010National Natural Science Foundation of China 62173096Natural Science Foundation of Guangdong Province 2022A1515010327Natural Science Foundation of Guangdong Province 2025A1515012124
6 · The paper itself

Abstract

This paper systematically reviews the research progress of underwater soft grasping devices in the field of bionic structure, function integration, and tactile sensing technology by drawing on the structural characteristics of marine organisms such as octopuses, jellyfish, and sea anemones (such as suction cups, umbrella-like muscles, and stinging cells). This paper analyzes the inspiration for the design, the application of innovative materials, and the integration of sensing and driving from marine organisms, including a review of soft robotics technologies, such as shape memory alloys (SMA), ionic polymer metal composite materials (IPMCs), magnetic nanocomposite cilia, etc. The research results emphasize that bionic soft robots have the potential for transformation in completely changing underwater operations by providing enhanced flexibility, efficiency, and environmental adaptability. This work provides a bionic design paradigm and perception-driven integration method for underwater soft operation systems, thereby promoting equipment innovation in the fields of deep-sea exploration and ecological protection.

Indexed as

bionic structure designgrasping-perception integrationsoft robotsoft underwater grippertactile sensing

Identifiers

PMID40942325
PMCPMC12431442

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.