Evidence map›Paper›PMID 41149173›Full record

ArticleBiomimetics (Basel, Switzerland)2025

Multi-Segment Extendable Soft Manipulator Driven by a Pneumatic-Tendon Coupling Mechanism.

Hongxi Yang, Yufeng Zeng, Zeyu Zhong, Zhiyan Chen, Junxi Zhou, Zhicheng Ling, Ye Chen, Yunquan Li

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. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

8 authors.

Hongxi YangShien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou 511442, China.
Yufeng ZengShien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou 511442, China.
Zeyu ZhongShien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou 511442, China.
Zhiyan ChenShien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou 511442, China.
Junxi ZhouShien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou 511442, China.
Zhicheng LingSchool of Microelectronics, South China University of Technology, Guangzhou 511442, China.ORCID 0009-0006-1758-6097
Ye ChenShien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou 511442, China.
Yunquan LiShien-Ming Wu School of Intelligent Engineering, South China University of Technology, Guangzhou 511442, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Continuum robots have garnered significant attention for their high flexibility and adaptability to complex environments. However, achieving the same level of high-precision control as rigid robots remains a significant challenge. This paper introduces an innovative Multi-Segment Extendable Soft Manipulator (MSESM) that employs a pneumatic-tendon hybrid drive mechanism. The design, utilizing off-the-shelf industrial bellows and 3D-printed components, allows the manipulator to achieve an extension ratio of up to 156.85%. By adopting a differential stiffness design, its bending stiffness was increased by approximately 4-5 times, its axial stiffness was increased by approximately 10 times, and its torsional resistance was enhanced, preventing inter-segment coupling during motion. At the control level, this paper proposes a hybrid control method that integrates a Constant Curvature (CC) physical prior with a data-driven neural network. Experimental results show that in tracking rectangular, triangular, and circular trajectories, this hybrid method reduced the average tracking error by 60.43% compared to a purely neural network-based controller, with the error reduction for the rectangular trajectory reaching 74.19%. This research validates a practical and effective approach for creating soft manipulators that successfully merge high flexibility with high-precision control.

Indexed as

continuum robothybrid actuationhybrid controlkinematic modelingneural networksoft manipulatortrajectory tracking

Identifiers

PMID41149173
PMCPMC12561715

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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.