Evidence map›Paper›PMID 31385573›Full record

ArticleeLife2019

Birds land reliably on complex surfaces by adapting their foot-surface interactions upon contact.

William Rt Roderick, Diana D Chin, Mark R Cutkosky, David Lentink

Abstract read
In one paragraph

Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Bioinspired Adaptive Leg-Claw Enables Robust Perching and Grasping for UAVs.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

William Rt Roderick *Department of Mechanical Engineering, Stanford University, Stanford, United States.ORCID 0000-0002-6998-1009
Diana D Chin *Department of Mechanical Engineering, Stanford University, Stanford, United States.ORCID 0000-0002-3015-7645
Mark R CutkoskyDepartment of Mechanical Engineering, Stanford University, Stanford, United States.ORCID 0000-0003-4730-0900
David LentinkDepartment of Mechanical Engineering, Stanford University, Stanford, United States.

Funding

Air Force Office of Scientific Research DESI FA9550-18-1-0525Department of Mechanical Engineering, Stanford University Graduate FellowshipNational Science Foundation CAREER Award 1552419National Science Foundation Graduate Research FellowshipU.S. Department of Defense National Defense Science and Engineering Graduate Fellowship
6 · The paper itself

Abstract

Birds land on a wide range of complex surfaces, yet it is unclear how they grasp a perch reliably. Here, we show how Pacific parrotlets exhibit stereotyped leg and wing dynamics regardless of perch diameter and texture, but foot, toe, and claw kinematics become surface-specific upon touchdown. A new dynamic grasping model, which integrates our detailed measurements, reveals how birds stabilize their grasp. They combine predictable toe pad friction with probabilistic friction from their claws, which they drag to find surface asperities-dragging further when they can squeeze less. Remarkably, parrotlet claws can undergo superfast movements, within 1-2 ms, on moderately slippery surfaces to find more secure asperities when necessary. With this strategy, they first ramp up safety margins by squeezing before relaxing their grasp. The model further shows it is advantageous to be small for stable perching when high friction relative to normal force is required because claws can find more usable surface, but this trend reverses when required friction shrinks. This explains how many animals and robots may grasp complex surfaces reliably.

Indexed as

Motor ActivityAnimalsBiomechanical PhenomenaFootModels, BiologicalParrotsWings, Animalbirdcomplex surfacesevolutionary biologygraspinglandingperching

Identifiers

PMID31385573
PMCPMC6684272

What OpenQuestion holds

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LicenceCC BY
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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.