Optimal navigation of microswimmers in complex and noisy environments
arXiv:2204.01116 · doi:10.1088/1367-2630/ac9079
Abstract
We design new navigation strategies for travel time optimization of microscopic self-propelled particles in complex and noisy environments. In contrast to strategies relying on the results of optimal control theory, these protocols allow for semi-autonomous navigation as they do not require control over the microswimmer motion via external feedback loops. Although the strategies we propose rely on simple principles, they show arrival time statistics strikingly similar to those obtained from stochastic optimal control theory, as well as performances that are robust to environmental changes and strong fluctuations. These features, as well as their applicability to more general optimization problems, make these strategies promising candidates for the realization of optimized semi-autonomous navigation.
References in corpus (26)
- Designing phoretic micro- and nano-swimmers
- A Simplest Swimmer at Low Reynolds Number: Three Linked Spheres
- Topological active matter
- Path integrals and symmetry breaking for optimal control theory
- Rheotaxis facilitates upstream navigation of mammalian sperm cells
- Adaptive locomotion of artificial microswimmers
- Phototaxis of synthetic microswimmers in optical landscapes
- Clusters, asters and collective oscillations in chemotactic colloids
- Gravitaxis of asymmetric self-propelled colloidal particles
- Flow Navigation by Smart Microswimmers via Reinforcement Learning
- 'Fuelled' motion: phoretic motility and collective behaviour of active colloids
- Artificial Rheotaxis
- Zermelo's problem: Optimal point-to-point navigation in 2D turbulent flows using Reinforcement Learning
- Feedback-Controlled Active Brownian Colloids with Space-Dependent Rotational Dynamics
- Optimal run-and-tumble based transportation of a Janus particle with active steering
- A steering mechanism for phototaxis in Chlamydomonas
- Active swarms on a sphere
- Optimal steering of a smart active particle
- Tuning the motility and directionality of self-propelled colloids
- Dynamical patterns in active nematics on a sphere
- Effective dynamics of microorganisms that interact with their own trail
- Hydrodynamics can Determine the Optimal Route for Microswimmer Navigation
- Clustering of Magnetic Swimmers in a Poiseuille Flow
- Focusing and sorting of ellipsoidal magnetic particles in microchannels
- Active motion on curved surfaces
- Optimal navigation strategies for microswimmers on curved manifolds
Cited by in corpus (8)
- Optimal active particle navigation meets machine learning
- Optimal tracking strategies in a turbulent flow
- Energetic cost of microswimmer navigation: the role of body shape
- Most probable path of an active Brownian particle
- Optimal Control in Soft and Active Matter
- Fractional and scaled Brownian motion on the sphere: The effects of long-time correlations on navigation strategies
- Kinetic theory of decentralized learning for smart active matter
- Optimal navigation in two-dimensional flows: Control theory and reinforcement learning