activity
20242026
most citedPolicy heterogeneity improves collective olfactory search in 3-D turbulence

2 citations · 2 across the 7 of their papers we have counts for

collaborators

7 papers

physics.flu-dyn2026

Learning Backward Transport for Source Localization

Maurizio Carbone, Lorenzo Piro

We address the problem of locating a chemical source in a flow. Based on the duality between the concentration field and Lagrangian tracer trajectories, we interpret concentration…

physics.flu-dyn2026

Smart strategies to navigate turbulent odor plumes reorienting to local wind

Lorenzo Piro, Maurizio Carbone, Luca Biferale +4

Olfactory search in turbulent environments is a sensorimotor problem that many animals solve with remarkable efficiency, yet replicating this ability in artificial systems is an en…

cs.RO2026

Olfactory pursuit: catching a moving odor source in complex flows

Maurizio Carbone, Lorenzo Piro, Robin A. Heinonen +3

Locating and intercepting a moving target from possibly delayed, intermittent sensory signals is a paradigmatic problem in decision-making under uncertainty, and a fundamental chal…

physics.flu-dyn2025★ 2 cited

Policy heterogeneity improves collective olfactory search in 3-D turbulence

Lorenzo Piro, Robin A. Heinonen, Maurizio Carbone +2

We investigate the role of policy heterogeneity in enhancing the olfactory search capabilities of cooperative agent swarms operating in complex, real-world turbulent environments.…

physics.flu-dyn2024

Communities for the Lagrangian Dynamics of the Turbulent Velocity Gradient Tensor: A Network Participation Approach

Christopher J. Keylock, Maurizio Carbone

Complex network analysis methods have been widely applied to nonlinear systems, but applications within fluid mechanics are relatively few. In this paper, we use a network for the…

physics.flu-dyn2024

Complex network approach to the turbulent velocity gradient dynamics: High- and low-probability Lagrangian paths

Christopher J. Keylock, Maurizio Carbone

Understanding the dynamics of the turbulent velocity gradient tensor (VGT) is essential to gain insights into the Navier-Stokes equations and improve small-scale turbulence modelin…

physics.flu-dyn2024

Tailor-designed models for the turbulent velocity gradient through normalizing flow

Maurizio Carbone, Vincent J. Peterhans, Alexander S. Ecker +1

Small-scale turbulence can be comprehensively described in terms of velocity gradients, which makes them an appealing starting point for low-dimensional modeling. Typical models co…