Evidence map›Paper›PMID 41589976›Full record

ArticleBiomimetics (Basel, Switzerland)2026

Design and Experimental Study of Octopus-Inspired Soft Underwater Robot with Integrated Walking and Swimming Modes.

Xudong Dai, Xiaoni Chi, Liwei Pan, Hongkun Zhou, Qiuxuan Wu, Zhiyuan Hu, Jian Wang

Abstract read
In one paragraph

Article in Biomimetics (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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.

Xudong DaiHUD-ITMO Joint Institute, Hangzhou Dianzi University, Hangzhou 310018, China.
Xiaoni ChiGEELY Automative Institute, Hangzhou Vocational & Technology University, Hangzhou 310018, China.
Liwei PanSchool of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.
Hongkun ZhouKunming Shipborne Equipment Research and Test Center, Kunming 655211, China.
Qiuxuan WuHUD-ITMO Joint Institute, Hangzhou Dianzi University, Hangzhou 310018, China.ORCID 0000-0001-5153-6524
Zhiyuan HuSchool of Automation, Hangzhou Dianzi University, Hangzhou 310018, China.
Jian WangHUD-ITMO Joint Institute, Hangzhou Dianzi University, Hangzhou 310018, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To enhance the flexibility and adaptability of underwater robots in complex environments, this paper designs an octopus-inspired soft underwater robot capable of both bipedal walking and multi-arm swimming. The robot features a rigid-flexible coupling structure consisting of a head module and eight rope-driven soft tentacles and integrates buoyancy adjustment and center-of-gravity balancing systems to achieve stable posture control in both motion modes. Based on the octopus's bipedal walking and multi-arm swimming mechanisms, this study formulates gait generation strategies for each mode. In walking mode, the robot achieves underwater linear movement, turning, and in-place rotation through coordinated tentacle actuation; in swimming mode, flexible three-dimensional propulsion is realized via synchronous undulatory gaits. Experimental results demonstrate the robot's peak thrust of 14.1 N, average swimming speed of 8.6 cm/s, and maximum speed of 15.1 cm/s, validating the effectiveness of the proposed structure and motion control strategies. This research platform offers a promising solution for adaptive movement and exploration in unstructured underwater environments.

Indexed as

biomimetic underwater robotbipedal walkinggait controlmulti-arm swimmingoctopus-inspired locomotionrigid–flexible hybrid mechanismsoft robotics

Identifiers

PMID41589976
PMCPMC12838968

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.