Evidence map›Paper›PMID 40995669›Full record

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

Robotic Materials With Bioinspired Microstructures for High Sensitivity and Fast Actuation.

Sakshi Sakshi, Rohit Pratyush Behera, Hongyu Zhou, Yifan Wang, Hortense Le Ferrand

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

5 authors.

Sakshi SakshiSchool of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, 637460, Singapore.
Rohit Pratyush BeheraSchool of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, 637460, Singapore.
Hongyu ZhouSchool of Material Science and Engineering, Nanyang Technological University, Singapore, 639798, Singapore.
Yifan WangSchool of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, 637460, Singapore.
Hortense Le FerrandSchool of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, 637460, Singapore.ORCID https://orcid.org/0000-0003-3017-9403

Funding

Ministry of Education - Singapore MOE-T2EP50123-0015National Research Foundation Singapore NRFF12-2020-0002
6 · The paper itself

Abstract

Functional soft materials with sensing and actuation capabilities enable the creation of autonomous devices and structures. Taking inspiration from natural microstructures of living organisms, a new generation of robotic materials that sense, compute, and actuate is being developed. This manuscript reviews how the integration of bioinspired microstructures into soft materials contributes to enhancing their performance for pressure sensing, actuation, and computation. The design principles for developing such microstructures are outlined, along with discussions of the fabrication strategies. Performance maps are drawn from literature data to allow comparisons of capabilities and to determine trends. Finally, the emerging approaches to embed computation with sensing and actuating into a single robotic material are presented. Overall, this review demonstrates that leveraging bioinspired microstructures into synthetic and functional systems can unlock new material properties that could be deployed in larger autonomous and self-adaptable structures. In the context of sustainable development, relying on microstructure for performance allows the use of new feedstocks while achieving desired functionalities.

Indexed as

actuationbioinspirationcomputationfunctional smart materialsmicrostructuresrobotic materialssensing

Identifiers

PMID40995669
PMCPMC13042804

What OpenQuestion holds

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LicenceCC BY
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.