Hydrodynamics can determine the optimal route for microswimmer navigation

@article{DaddiMoussaIder2021HydrodynamicsCD,
  title={Hydrodynamics can determine the optimal route for microswimmer navigation},
  author={Abdallah Daddi-Moussa-Ider and Hartmut L{\"o}wen and Benno Liebchen},
  journal={Communications Physics},
  year={2021}
}
As compared to the well explored problem of how to steer a macroscopic agent, like an airplane or a moon lander, to optimally reach a target, optimal navigation strategies for microswimmers experiencing hydrodynamic interactions with walls and obstacles are far-less understood. Here, we systematically explore this problem and show that the characteristic microswimmer-flow-field crucially influences the navigation strategy required to reach a target in the fastest way. The resulting optimal… 
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A numerical study of the point-to-point navigation of a fish-like swimmer in a time-varying vortical flow with a hybrid method of deep reinforcement learning (DRL) and immersed boundary–lattice Boltzmann method (IB-LBM).
Optimal navigation strategy of active Brownian particles in target-search problems.
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It is found that the microswimmer can enhance its success rate in finding the target by tuning its activity and its persistence in response to features of the environment.
Brownian Cargo Capture in Mazes via Intelligent Colloidal Microrobot Swarms
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The present intelligent robot swarm enabled by the multiagent control offers a path to realize complex functions at the microscopic scale in a resilient and flexible manner.
A numerical simulation of target-directed swimming for a three-link bionic fish with deep reinforcement learning
  • Yi Zhu, Jinhui Pang
  • Computer Science
    Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
  • 2022
TLDR
This work presents a numerical study of target-directed swimming for a three-link bionic fish with a feedback control system based on deep reinforcement learning (DRL) using a hybrid method of the DRL method and the immersed boundary–lattice Boltzmann method.
Optimising low-Reynolds-number predation via optimal control and reinforcement learning
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Squirmers that are bottom-heavy experience a torque that aligns them along the vertical so that they swim upwards. In a suspension of many squirmers, they also interact hydrodynamically via flow…
Stokeslet parallèle entre deux disques rigides antidérapants positionnés de manière coaxiale : une approche aux équations intégrales duales
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Research on numerical simulation for partial discharge of epoxy interface excited by high‐frequency sinusoidal voltage
Self-propulsion in 2D confinement: phoretic and hydrodynamic interactions.
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Insights from the current work suggest that biological and artificial swimmers sense their surroundings through long-ranged interactions, that can be modified by altering the surface properties.
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