Evidence map›Paper›PMID 40136787›Full record

ArticleBiomimetics (Basel, Switzerland)2025

Design and Control of Dual-Segment Multi-Wire Driven Bionic Soft Arm with Integrated Suction Cups.

Zhaosheng Wu, Qiuxuan Wu, Fulin Du, Zikai Zhao, Shoucheng Xiang, Hongkun Zhou, Yanbin Luo, Zhiyuan Hu

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Zhaosheng WuHDU-ITMO Joint Institute, Hangzhou Dianzi University, Hangzhou 310018, China.
Qiuxuan WuSchool of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.ORCID 0000-0001-5153-6524
Fulin DuSchool of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.
Zikai ZhaoHDU-ITMO Joint Institute, Hangzhou Dianzi University, Hangzhou 310018, China.
Shoucheng XiangSchool of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.
Hongkun ZhouKunming Shipborne Equipment Research and Test Center, Kunming 650106, China.
Yanbin LuoSchool of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.
Zhiyuan HuSchool of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the growing complexity of underwater operation tasks, particularly in confined spaces, turbulent environments, and dynamic object manipulation, the limitations of traditional rigid robotic arms are becoming ever more evident. To tackle these challenges, this paper proposes the development of a soft robotic arm modeled after octopus tentacles, incorporating biomimetic suckers. To tackle these challenges, this paper proposes the development of a soft robotic arm modeled after octopus tentacles, incorporating biomimetic suckers. By imitating the functional structure and suction cups of an octopus arm, a soft arm with a dual-segment continuous structure and eight-wire drive control is designed, integrating a flexible suction cup at the distal segment. A three-dimensional, dual-segment eight-wire driven segmented constant curvature motion model is developed to enable precise bending and rotational movements. In underwater grasping experiments, the soft robotic arm exhibited enhanced grasping stability, particularly in underwater environments, where it effectively copes with fluid disturbances and the capture of dynamic objects. This substantially increased the reliability and efficiency of underwater operations.

Indexed as

bionic suction cupskinematic modelingsoft robotunderwater soft armwire drive

Identifiers

PMID40136787
PMCPMC11940186

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.