Flow navigation by smart microswimmers

WebJun 21, 2024 · DOI: 10.1038/s42005-022-00935-x Corpus ID: 257115209; Gait switching and targeted navigation of microswimmers via deep reinforcement learning @article{Zou2024GaitSA, title={Gait switching and targeted navigation of microswimmers via deep reinforcement learning}, author={Zonghao Zou and Yuexin Liu and Y.-N. Young …

Reinforcement learning with artificial microswimmers

WebMay 9, 2024 · Efficient navigation in complex flows is of crucial importance for robotic applications. This work presents 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). The vortical … WebDec 1, 2024 · This ability of targeted navigation via adaptive gait-switching is particularly desirable for the development of smart artificial microswimmers that can perform complex biomedical tasks such as targeted drug delivery and microsurgery in an autonomous manner. ... We show that the strategy advised by AI is robust to flow perturbations and ... portland oregon crime reddit https://brainardtechnology.com

Artificial microswimmers get smart Science Robotics

WebApr 22, 2024 · Flow Navigation by Smart Microswimmers via Reinforcement Learning ... Learning algorithms to model adaptive behavior in complex flows and paves the way … WebDec 2, 2024 · Point-to-Point Navigation of a Fish-Like Swimmer in a Vortical Flow With Deep Reinforcement Learning. Frontiers in Physics, Vol. 10, Issue. , Frontiers in Physics, … WebAug 4, 2024 · Gait switching and targeted navigation of microswimmers via deep reinforcement learning. Communications Physics , 2024; 5 (1) DOI: 10.1038/s42005-022-00935-x Cite This Page : optimed copernicus

Flow Navigation by Smart Microswimmers via …

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Flow navigation by smart microswimmers

Modelling the behavior and dynamics of microswimmers

WebMay 17, 2024 · Flow Navigation by Smart Microswimmers via Reinforcement Learning Simona Colabrese, Kristian Gustavsson, Antonio Celani, and Luca Biferale Phys. Rev. … WebMar 19, 2024 · The first example is concerned with the gravitactic response of swimmers in the presence of complex flows, which presents a challenging flow navigation problem …

Flow navigation by smart microswimmers

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WebApr 12, 2024 · ``Smart'' microswimmers---those that can sense mechanical cues from their surroundings and respond to them---can learn to take advantage of their environment, … WebFeb 2, 2024 · The trajectories are directed from (0,0,13) to (5,0,11) for source dipole microswimmers near a spherical boundary of scaled radius R* = 10 positioned at the …

WebApr 26, 2024 · Abstract: 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 … WebMar 25, 2024 · An accurate and robust feedback control system is of great importance for bionic robotic fish to perform complex tasks. This work presents a numerical study of …

WebAug 1, 2024 · Related to the latter, gliders have learned to navigate in a turbulent flow [17,18] and microswimmers learned a complex flow ... Flow Navigation by Smart Microswimmers via Reinforcement Learning. WebDec 1, 2024 · This ability of targeted navigation via adaptive gait-switching is particularly desirable for the development of smart artificial microswimmers that can perform …

WebNov 15, 2024 · Related to the latter, gliders have learned to navigate in a turbulent flow [17,18] and microswimmers learned a complex flow field [19][20] [21] [22][23][24]. In experiments, reinforcement ...

Webfocus our attention on smart gravitactic swimmers. These are active particles whose task is to reach the highest altitude within some time horizon, given the constraints enforced … portland oregon craft classWebJan 18, 2024 · The development of microscopic artificial swimmers that can cross biological barriers, move through bodily fluids, and access remote pathological sites can revolutionize targeted therapies (10–13).Seminal work demonstrated the feasibility of following the example of prokaryotic (14, 15) or eukaryotic flagellum for building magnetically … optimed clinical researchWebMay 17, 2024 · Flow Navigation by Smart Microswimmers via Reinforcement Learning Simona Colabrese, Kristian Gustavsson, Antonio Celani, and Luca Biferale Phys. Rev. Lett. 118, 158004 (2024) ... Right: example of the optimal actions for the smart gravitactic particle that succeeded to escape the confinement, ... portland oregon craft breweriesWebApr 14, 2024 · Flow Navigation by Smart Microswimmers via Reinforcement Learning. Phys Rev Lett. 2024 Apr 14;118 (15):158004. doi: 10.1103/PhysRevLett.118.158004. … optimed comarchWebJan 30, 2024 · Flow Navigation by Smart Microswimmers via Reinforcement Learning. Smart active particles can acquire some limited knowledge of the fluid environment from simple mechanical cues and exert a control on their preferred steering direction. Their goal is to learn the best way to navigate by exploiting the underlying flow whenever possible. optimed doctorsWebMay 20, 2024 · Erratum: Flow Navigation by Smart Microswimmers via Reinforcement Learning [Phys. Rev. Lett. 118, 158004 (2024)] Phys Rev Lett. 2024 May … portland oregon current weather conditionsWebJan 30, 2024 · Flow Navigation by Smart Microswimmers via Reinforcement Learning. Smart active particles can acquire some limited knowledge of the fluid environment from … portland oregon crime rate ranking