Flow navigation by smart microswimmers
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 … WebJan 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.
Flow navigation by smart microswimmers
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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 … WebJun 21, 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 ...
WebMar 17, 2024 · However, what is presently missing are smart microswimmers that can learn some specific task by itself, for example, moving in a complex and unexplored environment. Writing in Science Robotics , Muiños-Landin et al. ( 2 ) implement such a smart microswimmer in experiments by letting it perform an optimization task using … WebMar 24, 2024 · Smart microswimmers Besides macroscale agents, even microorganisms can perceive information from their environment and use it for navigation. For example, the ability of sperm cells to sense gradients in the concentration of those chemicals which are emitted by the egg cell [ 10 , 11 ] is crucial for the survival of many species.
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 1, 2024 · This ability of targeted navigation via adaptive gait-switching is particularly desirable for the development of smart artificial microswimmers that can perform …
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 ...
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 … automata sydneyWebFlow Navigation by Smart Microswimmers via Reinforcement Learning Simona Colabrese,1 Kristian Gustavsson,1,2 Antonio Celani,3 and Luca Biferale1 1Department … gb13817WebOct 5, 2024 · Turbulent flow past bluff bodies is encountered in a wide range of natural and manmade systems that operate within a fluid. ... Biferale L., Flow navigation by smart microswimmers via reinforcement learning. Phys. Rev. Lett. 118, 158004 (2024). [Google Scholar] 10. Novati G., Mahadevan L., Koumoutsakos P., Controlled gliding and perching ... gb13819WebMay 20, 2024 · Erratum: Flow Navigation by Smart Microswimmers via Reinforcement Learning [Phys. Rev. Lett. 118, 158004 (2024)] Phys Rev Lett. 2024 May … automata sydney menuWebJan 30, 2024 · Flow Navigation by Smart Microswimmers via Reinforcement Learning. Smart active particles can acquire some limited knowledge of the fluid environment from … gb13813WebMay 21, 2024 · Detailed view of the flow-field around smart-swimmer ISη. The top panel shows the vorticity field in colour and velocity vectors as black arrows. ... Flow navigation by smart microswimmers via reinforcement learning. Phys Rev Lett 118, 158004 (2024). Crossref. PubMed. Google Scholar. 33. G Novati, et al., Synchronisation through … automata tankolásWebApr 11, 2024 · Smart active particles can acquire some limited knowledge of the fluid environment from simple mechanical cues and exert a control on their preferred steering … automata theory javatpoint