Evidence map›Paper›PMID 40102638›Full record

ArticleScientific reports2025

Untethered wavelength-selective multi-shape programmable hybrid soft robot.

Eungyoul Oh, Yeonjae Lee, Hyo-Jeong Lee, Youngjin Na, Albert Kim, Jun Dong Park, ChangKyu Yoon, Seung Hyun Song

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PubMed Full text at PMC Publisher
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. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Eungyoul Oh *Department of Electrical Engineering, Sookmyung Women's University, Seoul, 04310, Korea.
Yeonjae Lee *Department of Mechanical Systems Engineering, Sookmyung Women's University, Seoul, 04310, Korea.
Hyo-Jeong LeeDepartment of Chemical and Biological Engineering, Sookmyung Women's University, Seoul, 04310, Korea.
Youngjin NaDepartment of Mechanical Systems Engineering, Sookmyung Women's University, Seoul, 04310, Korea.
Albert KimDepartment of Medical Engineering, University of South Florida, Tampa, 33620, USA.
Jun Dong ParkDepartment of Chemical and Biological Engineering, Sookmyung Women's University, Seoul, 04310, Korea.
ChangKyu YoonDepartment of Mechanical Systems Engineering, Sookmyung Women's University, Seoul, 04310, Korea. ckyoon@sookmyung.ac.kr.
Seung Hyun SongDepartment of Electrical Engineering, Sookmyung Women's University, Seoul, 04310, Korea. shsong.ee@sookmyung.ac.kr.

Funding

National Research Foundation of Korea (NRF) grant NRF2022R1F1A1074266National Research Foundation of Korea (NRF) grant RS-2024-00357197Research Cluster Program Grants 3-2403-0005Sookmyung Women's University Research Grants 1-2203-2032
6 · The paper itself

Abstract

Untethered stimuli-responsive soft robotics is a promising field with potential applications in healthcare, automation, and human-robot interaction. However, current limitations restrict many soft robots to binary shape actuation, limiting their functionality to a single mechanical task. In this study, we introduce an untethered wavelength-selective multi-shape programmable soft robot using silicone/hydrogel materials. By leveraging metal nanoparticle-embedded silicone elastomer, our robot achieves reversible shape transformations in response to specific light wavelengths. We also engineered multiple distinct stiffness in key components like hinges and panels, enabling origami-like folding actuation. Our fabricated robot demonstrates four distinct shape morphologies controlled by two light wavelengths. This innovative combination of materials and selective actuation mechanism lays a strong foundation for advanced soft robotic systems capable of diverse mechanical tasks.

Identifiers

PMID40102638
PMCPMC11920097

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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.