Evidence map›Paper›PMID 41789150›Full record

ArticleInnovation (Cambridge (Mass.))2026

Mechanical intelligence for artificial wings: A philosophy for multifold high-degree morphing with its mechanisms analogous to biology.

Bing Luo, Wei Li

Abstract read
In one paragraph

Article in Innovation (Cambridge (Mass.)), 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

2 authors.

Bing LuoArtificial Intelligence Innovation and Incubation Institute, College of Computer Science and Artificial Intelligence, Fudan University, Shanghai 200433, China.
Wei LiArtificial Intelligence Innovation and Incubation Institute, College of Computer Science and Artificial Intelligence, Fudan University, Shanghai 200433, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Birds and fish have morphing propulsors and mechanical intelligence, which are the primary biomimetic inspirations. Myliobatid pectoral fins, which are morphologically similar to bird wings, are of particular interest. Artificial wings are expected to achieve multifold high-degree morphing, a substantial challenge and long-standing desire that current design philosophies have yet to effectively solve. Derived mathematically and inspired by the alignments of the skeletal joints of myliobatid fins, we propose a morphing philosophy for artificial wings: cross-section invariance. This philosophy facilitates simultaneous out-of-plane and planform morphing, simplifies proprioception, sensing, and control (the important aspects of mechanical intelligence), and features the intrinsic mechanisms analogous to the biological ones across morphing types and species. We mathematically characterize, verify, and validate the morphing philosophy and its intrinsic mechanisms. We present the mechanical implementations of the intrinsic mechanisms; each implementation mechanism is exquisitely designed to fulfill multifold roles to collaboratively enable multifold high-degree morphing. We demonstrate prototypes with a larger range of morphing performance that is currently unavailable in artificial wings and the biological counterparts. Our results suggest the potential of the philosophy for multimodal propulsion of biomimetic vehicles.

Indexed as

cross-section invariancemechanical intelligencemorphing philosophymorphing wingsmultifold morphingmultimodal locomotionmultimodal propulsionrelative pitch

Identifiers

PMID41789150
PMCPMC12957560

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.