Evidence map›Paper›PMID 39333119›Full record

ArticleNature communications2024

Agile perching maneuvers in birds and morphing-wing drones.

Valentin Wüest, Simon Jeger, Mir Feroskhan, Enrico Ajanic, Fabio Bergonti, Dario Floreano

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

6 authors.

Valentin WüestLaboratory of Intelligent Systems, École Polytechnique Fédérale de Lausanne, Lausanne, Vaud, Switzerland. valentinwueest@gmail.com.ORCID 0000-0003-2193-1907
Simon JegerLaboratory of Intelligent Systems, École Polytechnique Fédérale de Lausanne, Lausanne, Vaud, Switzerland.
Mir FeroskhanSchool of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore, Singapore.ORCID 0000-0002-2889-7222
Enrico AjanicLaboratory of Intelligent Systems, École Polytechnique Fédérale de Lausanne, Lausanne, Vaud, Switzerland.
Fabio BergontiArtificial and Mechanical Intelligence Laboratory, Istituto Italiano di Tecnologia, Genova, Genova, Italy.ORCID 0000-0003-3455-8056
Dario FloreanoLaboratory of Intelligent Systems, École Polytechnique Fédérale de Lausanne, Lausanne, Vaud, Switzerland. dario.floreano@epfl.ch.ORCID 0000-0002-5330-4863

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 51NF40_185543
6 · The paper itself

Abstract

Avian perching maneuvers are one of the most frequent and agile flight scenarios, where highly optimized flight trajectories, produced by rapid wing and tail morphing that generate high angular rates and accelerations, reduce kinetic energy at impact. While the behavioral, anatomical, and aerodynamic factors involved in these maneuvers are well described, the underlying control strategies are poorly understood. Here, we use optimal control methods on an avian-inspired drone with morphing wing and tail to test a recent hypothesis derived from perching maneuver experiments of Harris' hawks that birds minimize the distance flown at high angles of attack to dissipate kinetic energy before impact. The resulting drone flight trajectories, morphing sequence, and kinetic energy distribution resemble those measured in birds. Furthermore, experimental manipulation of the wings that would be difficult or unethical with animals reveals the morphing factors that are critical for optimal perching maneuver performance of birds and morphing-wing drones.

Indexed as

Flight, AnimalWings, AnimalAircraftAnimalsBiomechanical PhenomenaBirdsHawksTail

Identifiers

PMID39333119
PMCPMC11437188

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.