henhaobio
Sign in

Journal of The Royal Society InterfaceNeurosciencePeer-reviewed journal article

Nonuniform structural properties of wings confer sensing advantages

Alison I. WeberiD, Mahnoush BabaeiiD, Amanuel H. Mamo, Bingni W. BruntoniD, Thomas L. DanieliD, Sarah BergbreiteriD

PDFDOIPreprint

Abstract

Sensory feedback is essential to both animals and robotic systems for achieving coordinated, precise movements. Mechanosensory feedback, which provides information about body deformation and position in space, depends not only on the properties of sensors but also on the structure in which they are embedded. In insects, wing structure plays a particularly important role in flapping flight: in addition to generating aerodynamic forces, wings provide mechanosensory feedback necessary for guiding flight while undergoing dramatic deformations over the course of each wingbeat. However, the role that wing structure plays in determining mechanosensory information is relatively unexplored. Insect wings exhibit characteristic stiffness gradients, with greatest stiffness at the base and leading edge and lowest stiffness at the tip of the trailing edge. Additionally, wings are subject to both aerodynamic and structural damping. The sensory consequences of stiffness gradients and damping are unknown. Here we examine how both the nonuniform stiffness profile of a wing and its damping impacts sensory performance, using finite elements analysis combined with sensor placement optimization approaches. We show that wings with nonuniform stiffness exhibit several advantages over uniform stiffness wings, resulting in higher accuracy of rotation detection and lower sensitivity to the placement of sensors on the wing. Moreover, we show that higher damping generally improves the accuracy with which body rotations can be detected. These results contribute to our understanding of the evolution of the nonuniform stiffness patterns in insect wings, as well as suggest design principles for robotic systems.

Citations
11
FWCI
1.34
Field percentile
top 24%

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISWeber '21Yarger '25Fabian '21Stanchak '24Verbe '24Dahake '18
84% semantic matchNeuroscience
Alison I. Weber, Thomas L. Daniel, Bingni W. Brunton·PLoS Computational Biology·Aug 11, 2021· 22 citations