The use of machine learning techniques in the development of microscopic swimmers has
drawn considerable attention in recent years. In particular, reinforcement learning has been …

Designing locomotory gaits for synthetic microswimmers has been a challenge due to
stringent constraints on self-propulsion at low Reynolds numbers (Re). Here, we introduce a …

The coordinated motion by multiple swimmers is a fundamental component in fish schooling.
The flow field induced by the motion of each self-propelled swimmer implies non-linear …

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 …

Swimming organisms can escape their predators by creating and harnessing unsteady flow
fields through their body motions. Stochastic optimization and flow simulations have …

Biological microswimmers can coordinate their motions to exploit their fluid environment—
and each other—to achieve global advantages in their locomotory performance. These …

This work aims at finding optimal navigation policies for thin, deformable microswimmers
that progress in a viscous fluid by propagating a sinusoidal undulation along their slender …

Inertial swimmers use flexural movements to push water and generate thrust. We quantify
this dynamical process for a slender body in a fluid by accounting for passive elasticity and …

We computationally studied the kinematics of a simple reciprocal model swimmer
(asymmetric dumbbell) in a Newtonian fluid as a function of the Reynolds number (Re), and …

We report the evolution of the coordination with velocity in front-crawl swimming which is
used in competitions over a large range of distances (from 50 m up to 25 km in open-water …