Evidence map›Paper›PMID 42559697›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

A Rigid-Foldable Kirigami-Inspired Metamorphic Mechanism With Programmable Motion Modes and Self-Locking.

Jianlin Wang, Zhongmin Song, Ketao Zhang

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

3 authors.

Jianlin WangCentre for Advanced Robotics (ARQ), Queen Mary University of London, London, UK.ORCID https://orcid.org/0009-0003-8888-9640
Zhongmin SongInstitute of Artificial Intelligence, School of Future Technology, Shanghai University, Shanghai, China.ORCID https://orcid.org/0009-0002-9819-1169
Ketao ZhangCentre for Advanced Robotics (ARQ), Queen Mary University of London, London, UK.ORCID https://orcid.org/0000-0002-6033-071X

Funding

supportedUK Research and Innovation, Innovate UK 10074371
6 · The paper itself

Abstract

Compact metamorphic mechanisms capable of multifunctionality, especially geometric-constraint-induced changes in motion mode and intrinsic self-locking without sustained actuation, are valuable for engineering deployable and adaptive robotic systems. This paper presents a rigid-foldable, kirigami-inspired metamorphic parallel mechanism composed solely of revolute joints. Based on screw theory, we establish a unified kinematic model that systematically characterizes the four distinct configurations and their corresponding motion modes, including one uniaxial twisting motion, two coupled translations (lateral-vertical and longitudinal-vertical), and a self-locking state consistent with the motion characteristics of the rigid-foldable kirigami. The analysis reveals that the mechanism can switch among the four motion modes by reconfiguring the geometric constraints through changes in the programming pattern of the four actuated joints, without reassembly of the kinematic structure. The proof-of-concept prototype and experimental tests validate motion-mode switching and the passive structural rigidity of the tested energy-free self-locking configuration. This work demonstrates a way to encode functional adaptability directly into robot body design, reducing reliance on complex actuation and control systems. Such principles have broad implications for scalable, energy-efficient systems in fields ranging from robotics and aerospace structures to biomedical devices.

Indexed as

kirigami structuremetamorphic mechanismsmultimodal motionprogrammable structureself‐locking mechanism

Identifiers

PMID42559697
PMCPMC13445331

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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.