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

Advanced Intelligent Systems

Lucas Amoudruz¹  Petros Koumoutsakos¹ 

[1] Computational Science and Engineering Laboratory ETH Zürich Zurich CH-8092 Switzerland;

关键词: magnetically driven;    microswimmers;    reinforcement learning;   

DOI  :  10.1002/aisy.202100183

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown