Evidence map›Paper›PMID 41266412›Full record

ArticleScientific reports2025

Effective and comfortable chain-linking anchoring with anisotropic stiffness for soft wearable robots.

Namho Kim, Gyeongseok Jeong, Sinyoung Lee, Seung Ryeol Lee, Seongseop Yun, Dongjun Shin

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.

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

6 authors.

Namho Kim *Department of Mechanical Engineering, Yonsei University, Seoul, 03722, Republic of Korea.
Gyeongseok Jeong *Department of Mechanical Engineering, Yonsei University, Seoul, 03722, Republic of Korea.
Sinyoung LeeDepartment of Mechanical Engineering, Yonsei University, Seoul, 03722, Republic of Korea.
Seung Ryeol LeeDepartment of Mechanical Engineering, Yonsei University, Seoul, 03722, Republic of Korea.
Seongseop YunDepartment of Mechanical Engineering, Yonsei University, Seoul, 03722, Republic of Korea.
Dongjun ShinDepartment of Mechanical Engineering, Yonsei University, Seoul, 03722, Republic of Korea. dj.shin@yonsei.ac.kr.

Funding

Ministry of Trade, Industry and Energy 20007058National Research Foundation of Korea RS-2023-00208052
6 · The paper itself

Abstract

This study presents a wearable robot equipped with a novel anchoring structure designed to improve both force transmission efficiency and user comfort. While soft wearable robots are inherently more comfortable than rigid exoskeletons, they often suffer from significant force loss and increased anchoring pressure when higher assistive forces are applied. To address this trade-off, a chain-linking anchoring structure with anisotropic stiffness was developed and integrated into the wearable system. The structure is designed to exhibit high stiffness in regions critical for force transmission, minimizing deformation, while maintaining low stiffness in areas that require gentle deformation for wearer comfort. Experimental validation of the wearable robot demonstrated a 34.2% improvement in force transmission efficiency compared to conventional anchoring methods, without compromising comfort. These results highlight the effectiveness of the proposed robot in delivering strong assistance while remaining comfortable, offering a practical solution for the advancement of wearable assistive technologies.

Indexed as

Exoskeleton DeviceRoboticsWearable Electronic DevicesAnisotropyEquipment DesignHumansAnchoringAnisotropic structureSoft RoboticsWearable robot

Identifiers

PMID41266412
PMCPMC12635315

What OpenQuestion holds

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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.