The field of fluid mechanics is rapidly advancing, driven by unprecedented volumes of data
from experiments, field measurements, and large-scale simulations at multiple …

To find the path that minimizes the time to navigate between two given points in a fluid flow
is known as Zermelo's problem. Here, we investigate it by using a Reinforcement Learning …

Thermal convection is ubiquitous in nature as well as in many industrial applications. The
identification of effective control strategies to, eg suppress or enhance the convective heat …

Fish adaption behaviors in complex environments are of great importance in improving the
performance of underwater vehicles. This work presents a numerical study of the adaption …

The question of how “smart” active agents, like insects, microorganisms, or future colloidal
robots need to steer to optimally reach or discover a target, such as an odor source, food, or …

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 …

The study of active matter has revealed novel non-equilibrium collective behaviors,
illustrating their potential as a new materials platform. However, most work treat active matter …

As the length scales of the smallest technology continue to advance beyond the micron
scale it becomes increasingly important to equip robotic components with the means for …

Developing behavioral policies designed to efficiently solve target-search problems is a
crucial issue both in nature and in the nanotechnology of the 21st century. Here, we …

Marine micro-organisms must cope with complex flow patterns and even turbulence as they
navigate the ocean. To survive they must avoid predation and find efficient energy sources …