Independent Control and Path Planning of Microswimmers with a Uniform Magnetic Field

Artificial bacteria flagella (ABFs) are magnetic helical microswimmers that can be remotely controlled via a uniform, rotating magnetic field. Previous studies have used the heterogeneous response of microswimmers to external magnetic fields for achieving independent control. Herein, analytical and...

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Main Authors: Lucas Amoudruz, Petros Koumoutsakos
Format: Article
Language:English
Published: Wiley 2022-03-01
Series:Advanced Intelligent Systems
Subjects:
Online Access:https://doi.org/10.1002/aisy.202100183
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author Lucas Amoudruz
Petros Koumoutsakos
author_facet Lucas Amoudruz
Petros Koumoutsakos
author_sort Lucas Amoudruz
collection DOAJ
description Artificial bacteria flagella (ABFs) are magnetic helical microswimmers that can be remotely controlled via a uniform, rotating magnetic field. Previous studies have used the heterogeneous response of microswimmers to external magnetic fields for achieving independent control. Herein, analytical and reinforcement learning control strategies for path planning to a target by multiple swimmers using a uniform magnetic field are introduced. The comparison of the two algorithms shows the superiority of reinforcement learning in achieving minimal travel time to a target. The results demonstrate, for the first time, the effective independent navigation of realistic microswimmers with a uniform magnetic field in a viscous flow field.
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spelling doaj.art-c56e1b8dbb3c451a931c112e1fd2bc8b2022-12-21T23:51:09ZengWileyAdvanced Intelligent Systems2640-45672022-03-0143n/an/a10.1002/aisy.202100183Independent Control and Path Planning of Microswimmers with a Uniform Magnetic FieldLucas Amoudruz0Petros Koumoutsakos1Computational Science and Engineering Laboratory ETH Zürich Zurich CH-8092 SwitzerlandComputational Science and Engineering Laboratory ETH Zürich Zurich CH-8092 SwitzerlandArtificial bacteria flagella (ABFs) are magnetic helical microswimmers that can be remotely controlled via a uniform, rotating magnetic field. Previous studies have used the heterogeneous response of microswimmers to external magnetic fields for achieving independent control. Herein, analytical and reinforcement learning control strategies for path planning to a target by multiple swimmers using a uniform magnetic field are introduced. The comparison of the two algorithms shows the superiority of reinforcement learning in achieving minimal travel time to a target. The results demonstrate, for the first time, the effective independent navigation of realistic microswimmers with a uniform magnetic field in a viscous flow field.https://doi.org/10.1002/aisy.202100183magnetically drivenmicroswimmersreinforcement learning
spellingShingle Lucas Amoudruz
Petros Koumoutsakos
Independent Control and Path Planning of Microswimmers with a Uniform Magnetic Field
Advanced Intelligent Systems
magnetically driven
microswimmers
reinforcement learning
title Independent Control and Path Planning of Microswimmers with a Uniform Magnetic Field
title_full Independent Control and Path Planning of Microswimmers with a Uniform Magnetic Field
title_fullStr Independent Control and Path Planning of Microswimmers with a Uniform Magnetic Field
title_full_unstemmed Independent Control and Path Planning of Microswimmers with a Uniform Magnetic Field
title_short Independent Control and Path Planning of Microswimmers with a Uniform Magnetic Field
title_sort independent control and path planning of microswimmers with a uniform magnetic field
topic magnetically driven
microswimmers
reinforcement learning
url https://doi.org/10.1002/aisy.202100183
work_keys_str_mv AT lucasamoudruz independentcontrolandpathplanningofmicroswimmerswithauniformmagneticfield
AT petroskoumoutsakos independentcontrolandpathplanningofmicroswimmerswithauniformmagneticfield