Evidence map›Paper›PMID 41924027›Full record

ArticleCyborg and bionic systems (Washington, D.C.)2026

Octopus-Inspired Underwater Gripper with Rapid Stiffness Tuning and Robot Enabling Upward Transport.

Mingxin Wu, Yurong Liu, Jiaxi Wu, Waqar Hussain Afridi, Xingwen Zheng, Chen Wang, Guangming Xie

Abstract read
In one paragraph

Article in Cyborg and bionic systems (Washington, D.C.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Mingxin WuNational Center for International Joint Research of Micro-Nano Molding Technology, School of Mechanics and Safety Engineering, Zhengzhou University, Zhengzhou 450001, China.ORCID https://orcid.org/0000-0001-9066-5118
Yurong LiuDepartment of Mechanical Engineering, National University of Singapore, Singapore 117575, Singapore.
Jiaxi WuState Key Laboratory for Turbulence and Complex Systems, Intelligent Biomimetic Design Lab, School of Advanced Manufacturing and Robotics, Peking University, Beijing 100871, China.
Waqar Hussain AfridiState Key Laboratory for Turbulence and Complex Systems, Intelligent Biomimetic Design Lab, School of Advanced Manufacturing and Robotics, Peking University, Beijing 100871, China.
Xingwen ZhengInstitute of Cyber-Systems and Control, Department of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China.
Chen WangState Key Laboratory for Turbulence and Complex Systems, Intelligent Biomimetic Design Lab, School of Advanced Manufacturing and Robotics, Peking University, Beijing 100871, China.
Guangming XieState Key Laboratory for Turbulence and Complex Systems, Intelligent Biomimetic Design Lab, School of Advanced Manufacturing and Robotics, Peking University, Beijing 100871, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Underwater operations-such as marine environmental protection, resource recovery, and seabed exploration-require grippers with high adaptability. Existing rigid and soft grippers are constrained by their inherent material limitations, restricting their manipulation versatility. In this work, we introduce an octopus-inspired underwater gripper with rapidly tunable stiffness, integrated into an upward transport robot designed for efficient underwater object manipulation. Achieving softening in 1.3 s and rigidification in 0.8 s, the gripper demonstrates the shortest stiffness transition time reported to date, substantially advancing rapid and adaptive underwater manipulation. Emulating the octopus's multimodal grasping strategy, the system can handle a wide range of objects-from light to heavy and soft to rigid-even in cluttered underwater environments. The integrated robot combines active buoyancy control with manipulation to enable continuous grasping and vertical transport of submerged objects. This study offers a robust solution for adaptive underwater manipulation, with potential applications in autonomous marine operations, ecological restoration, and ocean missions.

Identifiers

PMID41924027
PMCPMC13036364

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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.