Mechanisms for Mid-Air Reorientation Using Tail Rotation in Gliding Geckos.


Journal

Integrative and comparative biology
ISSN: 1557-7023
Titre abrégé: Integr Comp Biol
Pays: England
ID NLM: 101152341

Informations de publication

Date de publication:
08 09 2021
Historique:
received: 31 01 2021
revised: 18 05 2021
accepted: 17 06 2021
pubmed: 19 6 2021
medline: 10 11 2021
entrez: 18 6 2021
Statut: ppublish

Résumé

Arboreal animals face numerous challenges when negotiating complex three-dimensional terrain. Directed aerial descent or gliding flight allows for rapid traversal of arboreal environments, but presents control challenges. Some animals, such as birds or gliding squirrels, have specialized structures to modulate aerodynamic forces while airborne. However, many arboreal animals do not possess these specializations but still control posture and orientation in mid-air. One of the largest inertial segments in lizards is their tail. Inertial reorientation can be used to attain postures appropriate for controlled aerial descent. Here, we discuss the role of tail inertia in a range of mid-air reorientation behaviors using experimental data from geckos in combination with mathematical and robotic models. Geckos can self-right in mid-air by tail rotation alone. Equilibrium glide behavior of geckos in a vertical wind tunnel show that they can steer toward a visual stimulus by using rapid, circular tail rotations to control pitch and yaw. Multiple coordinated tail responses appear to be required for the most effective terminal velocity gliding. A mathematical model allows us to explore the relationship between morphology and the capacity for inertial reorientation by conducting sensitivity analyses, and testing control approaches. Robotic models further define the limits of performance and generate new control hypotheses. Such comparative analysis allows predictions about the diversity of performance across lizard morphologies, relative limb proportions, and provides insights into the evolution of aerial behaviors.

Identifiants

pubmed: 34143210
pii: 6304832
doi: 10.1093/icb/icab132
pmc: PMC8427175
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

478-490

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press on behalf of the American Institute of Biological Sciences.

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Auteurs

Robert Siddall (R)

Locomotion in Biorobotic and Somatic Systems Group, Max Planck Institute for Intelligent Systems, Heisenbergstraße 3, 70569 Stuttgart, Germany.

Victor Ibanez (V)

Locomotion in Biorobotic and Somatic Systems Group, Max Planck Institute for Intelligent Systems, Heisenbergstraße 3, 70569 Stuttgart, Germany.
Neuroscience Center, University of Zurich, Winterthurer Strasse 190, 8057 Zürich, Switzerland.

Greg Byrnes (G)

Department of Biology, Siena College, 515 Loudon Road, Loudonville, NY 12211, USA.

Robert J Full (RJ)

Department of Integrative Biology, University of California, Berkeley, 3040 Valley Life Sciences Building 3140, Berkeley, CA 94720-3140, USA.

Ardian Jusufi (A)

Locomotion in Biorobotic and Somatic Systems Group, Max Planck Institute for Intelligent Systems, Heisenbergstraße 3, 70569 Stuttgart, Germany.

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Classifications MeSH