Evidence map›Paper›PMID 42811498›Full record

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

Vine-Inspired Soft Robotics: Materials, Actuations, and Emerging Applications.

Jiahao Wu, Xingyun Liu, Fangzhou Wang, Huili Ren, Chaojun Zhang, Ziyu Ren, Zunqi Liu, Jing Li

Abstract readReview
In one paragraph

Review 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

8 authors.

Jiahao WuSchool of Chemistry, Beihang University, Beijing, China.
Xingyun LiuSchool of Chemistry, Beihang University, Beijing, China.
Fangzhou WangDepartment of Cardiovascular Surgery & School of Medicine, Zhongda Hospital, Southeast University, Nanjing, Jiangsu, China.
Huili RenSchool of Chemistry, Beihang University, Beijing, China.ORCID https://orcid.org/0009-0004-9794-9008
Chaojun ZhangSchool of Chemistry, Beihang University, Beijing, China.
Ziyu RenSchool of Mechanical Engineering and Automation, Beihang University, Beijing, China.ORCID https://orcid.org/0000-0003-0824-1805
Zunqi LiuChemistry and Chemical Engineering College, Xinjiang Agricultural University, Urumqi, Xinjiang, China.ORCID https://orcid.org/0000-0001-6096-7166
Jing LiSchool of Chemistry, Beihang University, Beijing, China.ORCID https://orcid.org/0000-0002-5627-4153

Funding

Aeronautical Science Foundation of China 2022Z043051002Fundamental Research Funds for the Central Universities GW2025-31Fundamental Research Funds for the Central Universities YWF-22-L-1256Key R&D Plan Project in Xinjiang Autonomous Region 2025B02021-2Key R&D Plan Project in Xinjiang Autonomous Region 2026LQ03006National Natural Science Foundation of China 22272004National Natural Science Foundation of China 62403029
6 · The paper itself

Abstract

Inspired by the tip-growth behavior of natural vines, vine-inspired robots have emerged as a distinctive paradigm in soft robotics, enabling adaptive extension and navigation in confined, fragile, and highly unstructured environments. Unlike conventional robots that rely on whole-body locomotion, vine-inspired robots extend by generating or deploying their body from the tip, making performance strongly dependent on material properties, interfaces, and processing strategies. This review provides a comprehensive overview of recent advances from a materials perspective. We first examine material strategies for fluid-driven eversion and phase-transition- or deposition-enabled growth, linking material chemistry, geometry, interfaces, and phase behavior to growth performance. We then discuss how material-structure design supports steering, retraction, multifunctional tip design, variable stiffness, climbing and attachment, and branching, while evaluating their performance trade-offs and technological maturity. Representative applications in medical diagnosis and intervention, navigation and exploration, transport and operational tasks, and deployable and reconfigurable structures are highlighted. Finally, we discuss key challenges in hierarchical material integration, scalable manufacturability, long-term reliability, and morphology-aware sensing and control, together with opportunities enabled by learning-based approaches and embodied intelligence. By connecting materials, growth mechanisms, functional capabilities, and application requirements, this review provides a unified framework for next-generation adaptive growing robots.

Indexed as

bioinspired designmultimodal actuationsoft roboticstip growthvine robots

Identifiers

PMID42811498
PMCPMC13624306

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.