# 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…

## 11 Citations

Point-to-Point Navigation of a Fish-Like Swimmer in a Vortical Flow With Deep Reinforcement Learning

- Computer ScienceFrontiers in Physics
- 2022

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.

- PhysicsThe Journal of chemical physics
- 2021

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

- BusinessAdv. Intell. Syst.
- 2021

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

- Computer ScienceProceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
- 2022

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

- Environmental Science
- 2022

We seek the best stroke sequences of a finite–size swimming predator chasing a non–motile point or finite–size prey at low Reynolds number. We use optimal control to seek the globally–optimal…

Migration of active filaments under Poiseuille flow in a microcapillary tube.

- PhysicsThe European physical journal. E, Soft matter
- 2021

We present a comprehensive study of active filaments confined in a cylindrical channel under Poiseuille flow. The activity drives the filament towards the channel boundary, whereas external fluid…

Gyrotactic cluster formation of bottom-heavy squirmers

- PhysicsThe European physical journal. E, Soft matter
- 2022

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

- LHB
- 2022

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and…

Research on numerical simulation for partial discharge of epoxy interface excited by high‐frequency sinusoidal voltage

- PhysicsHigh Voltage
- 2021

Self-propulsion in 2D confinement: phoretic and hydrodynamic interactions.

- PhysicsThe European physical journal. E, Soft matter
- 2021

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.

## References

SHOWING 1-10 OF 96 REFERENCES

Microswimmers in patterned environments

- Biology
- 2011

A novel species of microswimmers whose active motion is due to the local demixing of a critical binary liquid mixture and can be easily tuned by illumination is developed, which can be employed to develop advanced sorting, classification and dialysis techniques.

Flow Navigation by Smart Microswimmers via Reinforcement Learning

- EngineeringPhysical review letters
- 2017

The potential of reinforcement learning algorithms to model adaptive behavior in complex flows is illustrated and paves the way towards the engineering of smart microswimmers that solve difficult navigation problems.

Optimal Navigation of Self-Propelled Colloids.

- EngineeringACS nano
- 2018

A feedback control strategy by which to navigate self-propelled colloids through free space and increasingly complex mazes by considering stochastic rod dynamics including self-propulsion, translational-rotational diffusion, and rod-maze interactions is reported.

Zermelo's problem: Optimal point-to-point navigation in 2D turbulent flows using Reinforcement Learning

- MathematicsChaos
- 2019

This work investigates Zermelo's problem by using a Reinforcement Learning (RL) approach for the case of a vessel that has a slip velocity with fixed intensity, Vs, but variable direction and navigating in a 2D turbulent sea, and shows how the RL approach is able to take advantage of the flow properties in order to reach the target.

Delayed feedback control of active particles: a controlled journey towards the destination.

- PhysicsPhysical chemistry chemical physics : PCCP
- 2019

The delayed feedback strategy is applied to two experimentally relevant situations, namely, optical trapping and photon nudging and the mean arrival time is calculated analytically and by simulations to investigate the performance.

Microswimmers near surfaces

- Physics
- 2015

Abstract
Both, in their natural environment and in a controlled experimental setup, microswimmers regularly interact with surfaces. These surfaces provide a steric boundary, both for the swimming…

Swimming trajectories of a three-sphere microswimmer near a wall.

- PhysicsThe Journal of chemical physics
- 2018

The general three-dimensional motion can be mapped onto a quasi-two-dimensional representational model by an appropriate redefinition of the order parameters governing the transition between the swimming states and allow for an accurate description of the swimming behavior near a wall.

Geometric capture and escape of a microswimmer colliding with an obstacle.

- MathematicsSoft matter
- 2015

This work addresses the hydrodynamic capture of a microswimmer near a stationary spherical obstacle analytically and shows that in some cases the trapping time is governed by an Ornstein-Uhlenbeck process, which results in a trapping time distribution that is well-approximated as inverse-Gaussian.

Self-Propelled Colloidal Particle Near a Planar Wall: A Brownian Dynamics Study

- Engineering
- 2016

Miniaturized, self-propelled locomotors use chemo-mechanical transduction mechanisms to convert fuel in the environment to autonomous motion. Recent experimental and theoretical studies demonstrate…

Self-diffusiophoretic colloidal propulsion near a solid boundary

- Engineering
- 2015

Self-propelled, chemically powered colloidal locomotors are swimmers designed to transverse small scale landscapes in a range of applications involving micropumping, sensing, and cargo transport.…