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

Abstract

Artificial bacteria flagella (ABFs) are magnetic helical micro-swimmers 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. Here we introduce analytical and reinforcement learning control strategies for path planning to a target by multiple swimmers using a uniform magnetic field. 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 micro-swimmers with a uniform magnetic field in a viscous flow field.

References in corpus (2)

• Microswimmers learning chemotaxis with genetic algorithms
• Mirheo: High-Performance Mesoscale Simulations for Microfluidics

Cited by in corpus (4)

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• Contactless Precision Steering of Particles in a Fluid inside a Cube with Rotating Walls
• Magnetically Driven Elastic Microswimmers: Exploiting Hysteretic Collapse for Autonomous Propulsion and Independent Control