Evidence map›Paper›PMID 41038922›Full record

ArticleScientific reports2025

Design and control of a continuum robot with switchable stiffness based on ball-and-socket joints.

Wentuo Yang, Zefeng Liu, Yongfeng Cao, Shuang Wang, Le Xie

Abstract read
In one paragraph

Article in Scientific reports, 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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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

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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

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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

5 authors.

Wentuo YangSchool of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
Zefeng LiuSchool of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
Yongfeng CaoSchool of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
Shuang WangInstitute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, 200240, China.
Le XieSchool of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China. lexie@sjtu.edu.cn.

Funding

Key Project of Medical Engineering Interdisciplinary Research Fund of Shanghai Jiao Tong University YG2023ZD05National Key R \& D Program of China 2022YFC2405500National Natural Science Foundation of China 62473258Open Research Project of Key Laboratory of Minimally Invasive Spinal Technologies and Materials of Shanghai Tongren Hospital 2024JZWC-ZDA03
6 · The paper itself

Abstract

Multi-segment continuum robots (MSCRs) with switchable stiffness offer significant potential for advancing minimally invasive surgeries. Compliance is advantageous during navigation to prevent rigid collisions, while rigidity is required to ensure stability during surgical manipulation. However, most variable stiffness techniques involve additional structures, increasing the MSCRs' size beyond clinical applicability. This study proposes to leverage the inherent friction between the joints of discrete-jointed MSCRs to achieve stiffness switching, eliminating extra friction mechanisms. A ball-and-socket joint-based MSCR with a compact diameter of 6 mm is introduced. During operations, the proximal segment of the MSCR is rigidly locked, providing stable support for the distal segment and resisting force coupling between the segments. To control the MSCR, a friction model for the ball-and-socket joints is developed and integrated into the Cosserat rod framework to characterize its kineto-static behavior. A multicore fiber with included fiber Bragg gratings (MCF-FBGs) is integrated for shape sensing. Based on the shape feedback from MCF-FBGs, a general workflow for the proposed prototype is established, detailing the actuation strategies. Experiments are conducted to validate the robot's stiffness switching capability, quantify the modeling accuracy, and comprehensively evaluate the performance of the proposed prototype within the defined workflow.

Indexed as

Continuum robotCosserat rodFiber Bragg gratingSwitchable stiffness

Identifiers

PMID41038922
PMCPMC12491515

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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.