Reinforcement learning of a biflagellate model microswimmer

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Hauptverfasser: Bulusu, Sridhar, Zöttl, Andreas
Format: Preprint
Veröffentlicht: 2025
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author Bulusu, Sridhar
Zöttl, Andreas
author_facet Bulusu, Sridhar
Zöttl, Andreas
contents Many microswimmers are able to swim through viscous fluids by employing periodic non-reciprocal deformations of their appendages. Here we use a simple microswimmer model inspired by swimming biflagellates which consists of a spherical cell body and two small spherical beads representing the motion of the two flagella. Using reinforcement learning we identify for different microswimmer morphologies quasi-optimized swimming strokes. For all studied cases the identified strokes result in symmetric and quasi-synchronized beating of the two flagella beads. Interestingly, the stroke-averaged flow fields are of pusher type, and the observed swimming gaits outperform previously used biflagellate microswimmer models relying on predefined circular flagella bead motion.
format Preprint
id arxiv_https___arxiv_org_abs_2508_15561
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Reinforcement learning of a biflagellate model microswimmer
Bulusu, Sridhar
Zöttl, Andreas
Soft Condensed Matter
Biological Physics
Computational Physics
Many microswimmers are able to swim through viscous fluids by employing periodic non-reciprocal deformations of their appendages. Here we use a simple microswimmer model inspired by swimming biflagellates which consists of a spherical cell body and two small spherical beads representing the motion of the two flagella. Using reinforcement learning we identify for different microswimmer morphologies quasi-optimized swimming strokes. For all studied cases the identified strokes result in symmetric and quasi-synchronized beating of the two flagella beads. Interestingly, the stroke-averaged flow fields are of pusher type, and the observed swimming gaits outperform previously used biflagellate microswimmer models relying on predefined circular flagella bead motion.
title Reinforcement learning of a biflagellate model microswimmer
topic Soft Condensed Matter
Biological Physics
Computational Physics
url https://arxiv.org/abs/2508.15561