Hydrodynamics can Determine the Optimal Route for Microswimmer Navigation
arXiv:2008.11064 · doi:10.1038/s42005-021-00522-6
Abstract
Contrasting the well explored problem on how to steer a macroscopic agent like an airplane or a moon lander to optimally reach a target, "optimal microswimming", i.e. the quest for the optimal navigation strategy for microswimmers, remains unsolved. Here, we systematically explore this problem and show that the characteristic flow field of microswimmers crucially influences the required navigation strategy to reach a target fastest. The resulting optimal trajectories can have remarkable and non-intuitive shapes, which qualitatively differ from those of dry active particles or motile macroagents. Our results provide generic insights into the role of hydrodynamics and fluctuations on optimal navigation at the microscale and suggest that microorganisms might have survival advantages when strategically controlling their distance to remote walls. In particular, when fluctuations are present, choosing the optimal strategy, which appropriately respects hydrdynamics, can halve the time to reach the target compared to cases microswimmers head straight towards it.
References in corpus (39)
- Active Particles in Complex and Crowded Environments
- The hydrodynamics of swimming microorganisms
- Motility-Induced Phase Separation
- Physics of Microswimmers - Single Particle Motion and Collective Behavior
- Active Brownian Particles. From Individual to Collective Stochastic Dynamics
- Hydrodynamic attraction of swimming microorganisms by surfaces
- Microswimmers in Patterned Environments
- Hydrodynamics of self-propulsion near a boundary: predictions and accuracy of far-field approximations
- Bacterial hydrodynamics
- The 2019 Motile Active Matter Roadmap
- Direct measurement of the flow field around swimming microorganisms
- Emergent behavior in active colloids
- Oscillatory Flows Induced by Microorganisms Swimming in Two-dimensions
- Flow Navigation by Smart Microswimmers via Reinforcement Learning
- Geometric capture and escape of a microswimmer colliding with an obstacle
- Self-Diffusiophoretic Colloidal Propulsion Near a Solid Boundary
- Brownian Dynamics of a Sphere Between Parallel Walls
- Zermelo's problem: Optimal point-to-point navigation in 2D turbulent flows using Reinforcement Learning
- Viscotaxis: microswimmer navigation in viscosity gradients
- Machine learning strategies for path-planning microswimmers in turbulent flows
- Hydrodynamics of Micro-swimmers in Films
- Active particles in viscosity gradients
- Optimal steering of a smart active particle
- Hydrodynamic interaction of a self-propelling particle with a wall: Comparison between an active Janus particle and a squirmer model
- Finding Efficient Swimming Strategies in a Three Dimensional Chaotic Flow by Reinforcement Learning
- Self-learning how to swim at low Reynolds number
- Active Brownian motion with orientation-dependent motility: theory and experiments
- Swimming trajectories of a three-sphere microswimmer near a wall
- Smart Inertial Particles
- Active Atoms and Interstitials in Two-dimensional Colloidal Crystals
- How walls affect the dynamics of self-phoretic microswimmers
- Particle mobility between two planar elastic membranes: Brownian motion and membrane deformation
- Membrane penetration and trapping of an active particle
- Optimal Design for Purcell Three-link Swimmer
- Self-Propelled Colloidal Particle Near a Planar Wall: A Brownian Dynamics Study
- Delayed feedback control of active particles: a controlled journey towards the destination
- Axisymmetric Stokes flow due to a point-force singularity acting between two coaxially positioned rigid no-slip disks
- Theory of active particle penetration through a planar elastic membrane
- Focusing and splitting of particle streams in microflows via viscosity gradients
Cited by in corpus (17)
- Active matter under control: Insights from response theory
- Reinforcement learning of optimal active particle navigation
- Optimal active particle navigation meets machine learning
- Optimising low-Reynolds-number predation via optimal control and reinforcement learning
- Optimal navigation strategy of active Brownian particles in target-search problems
- Optimal navigation of microswimmers in complex and noisy environments
- Optimal tracking strategies in a turbulent flow
- Self-propulsion in 2D Confinement: Phoretic and Hydrodynamic Interactions
- Energetic cost of microswimmer navigation: the role of body shape
- Steady azimuthal flow field induced by a rotating sphere near a rigid disk or inside a gap between two coaxially positioned rigid disks
- Taming Lagrangian Chaos with Multi-Objective Reinforcement Learning
- Inertial self-propelled particles in anisotropic environments
- Axisymmetric monopole and dipole flow singularities in proximity of a stationary no-slip plate immersed in a Brinkman fluid
- Learning to swim efficiently in a nonuniform flow field
- Optimal Control in Soft and Active Matter
- Short term vs. long term: optimization of microswimmer navigation on different time horizons
- Efficient survival strategy for zooplankton in turbulence