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Field-mediated locomotor dynamics on highly deformable surfaces

Studies of active matter—systems consisting of individuals or ensembles of internally driven and damped locomotors—are of interest to physicists studying nonequilibrium dynamics, biologists interested in individuals and swarm locomotion, and engineers designing robot controllers. While principles go...

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Autores principales: Li, Shengkai, Ozkan-Aydin, Yasemin, Xiao, Charles, Small, Gabriella, Gynai, Hussain N., Li, Gongjie, Rieser, Jennifer M., Laguna, Pablo, Goldman, Daniel I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9335302/
https://www.ncbi.nlm.nih.gov/pubmed/35857871
http://dx.doi.org/10.1073/pnas.2113912119
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author Li, Shengkai
Ozkan-Aydin, Yasemin
Xiao, Charles
Small, Gabriella
Gynai, Hussain N.
Li, Gongjie
Rieser, Jennifer M.
Laguna, Pablo
Goldman, Daniel I.
author_facet Li, Shengkai
Ozkan-Aydin, Yasemin
Xiao, Charles
Small, Gabriella
Gynai, Hussain N.
Li, Gongjie
Rieser, Jennifer M.
Laguna, Pablo
Goldman, Daniel I.
author_sort Li, Shengkai
collection PubMed
description Studies of active matter—systems consisting of individuals or ensembles of internally driven and damped locomotors—are of interest to physicists studying nonequilibrium dynamics, biologists interested in individuals and swarm locomotion, and engineers designing robot controllers. While principles governing active systems on hard ground or within fluids are well studied, another class of systems exists at deformable interfaces. Such environments can display mixes of fluid-like and elastic features, leading to locomotor dynamics that are strongly influenced by the geometry of the surface, which, in itself, can be a dynamical entity. To gain insight into principles by which locomotors are influenced via a deformation field alone (and can influence other locomotors), we study robot locomotion on an elastic membrane, which we propose as a model of active systems on highly deformable interfaces. As our active agent, we use a differential driven wheeled robotic vehicle which drives straight on flat homogeneous surfaces, but reorients in response to environmental curvature. We monitor the curvature field–mediated dynamics of a single vehicle interacting with a fixed deformation as well as multiple vehicles interacting with each other via local deformations. Single vehicles display precessing orbits in centrally deformed environments, while multiple vehicles influence each other by local deformation fields. The active nature of the system facilitates a differential geometry–inspired mathematical mapping from the vehicle dynamics to those of test particles in a fictitious “spacetime,” allowing further understanding of the dynamics and how to control agent interactions to facilitate or avoid multivehicle membrane-induced cohesion.
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spelling pubmed-93353022023-01-20 Field-mediated locomotor dynamics on highly deformable surfaces Li, Shengkai Ozkan-Aydin, Yasemin Xiao, Charles Small, Gabriella Gynai, Hussain N. Li, Gongjie Rieser, Jennifer M. Laguna, Pablo Goldman, Daniel I. Proc Natl Acad Sci U S A Physical Sciences Studies of active matter—systems consisting of individuals or ensembles of internally driven and damped locomotors—are of interest to physicists studying nonequilibrium dynamics, biologists interested in individuals and swarm locomotion, and engineers designing robot controllers. While principles governing active systems on hard ground or within fluids are well studied, another class of systems exists at deformable interfaces. Such environments can display mixes of fluid-like and elastic features, leading to locomotor dynamics that are strongly influenced by the geometry of the surface, which, in itself, can be a dynamical entity. To gain insight into principles by which locomotors are influenced via a deformation field alone (and can influence other locomotors), we study robot locomotion on an elastic membrane, which we propose as a model of active systems on highly deformable interfaces. As our active agent, we use a differential driven wheeled robotic vehicle which drives straight on flat homogeneous surfaces, but reorients in response to environmental curvature. We monitor the curvature field–mediated dynamics of a single vehicle interacting with a fixed deformation as well as multiple vehicles interacting with each other via local deformations. Single vehicles display precessing orbits in centrally deformed environments, while multiple vehicles influence each other by local deformation fields. The active nature of the system facilitates a differential geometry–inspired mathematical mapping from the vehicle dynamics to those of test particles in a fictitious “spacetime,” allowing further understanding of the dynamics and how to control agent interactions to facilitate or avoid multivehicle membrane-induced cohesion. National Academy of Sciences 2022-07-20 2022-07-26 /pmc/articles/PMC9335302/ /pubmed/35857871 http://dx.doi.org/10.1073/pnas.2113912119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Physical Sciences
Li, Shengkai
Ozkan-Aydin, Yasemin
Xiao, Charles
Small, Gabriella
Gynai, Hussain N.
Li, Gongjie
Rieser, Jennifer M.
Laguna, Pablo
Goldman, Daniel I.
Field-mediated locomotor dynamics on highly deformable surfaces
title Field-mediated locomotor dynamics on highly deformable surfaces
title_full Field-mediated locomotor dynamics on highly deformable surfaces
title_fullStr Field-mediated locomotor dynamics on highly deformable surfaces
title_full_unstemmed Field-mediated locomotor dynamics on highly deformable surfaces
title_short Field-mediated locomotor dynamics on highly deformable surfaces
title_sort field-mediated locomotor dynamics on highly deformable surfaces
topic Physical Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9335302/
https://www.ncbi.nlm.nih.gov/pubmed/35857871
http://dx.doi.org/10.1073/pnas.2113912119
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