activity
20192026
most citedOptimal navigation of microswimmers in complex and noisy environments

22 citations · 78 across the 13 of their papers we have counts for

collaborators

14 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…

cond-mat.soft2026

Nonequilibrium energetics of sensing and actuation by a smart active particle

Luca Cocconi, Benoît Mahault, Lorenzo Piro

Smart active agents must allocate finite energetic resources across distinct functions, yet the underlying thermodynamic trade-offs remain poorly understood. Here, we introduce a m…

physics.flu-dyn2026

Adaptive shape control for microswimmer navigation in turbulence

Jingran Qiu, Lorenzo Piro, Luca Biferale +3

Navigation in turbulent environments is a fundamental challenge for biological and artificial microswimmers. While most existing studies focus on adapting motility or steering, the…

physics.flu-dyn2025

TURB-Smoke. A database of Lagrangian pollutants emitted from point-sources and dispersed in turbulent flows

Luca Biferale, Fabio Bonaccorso, Niccolò Cocciaglia +2

Identifying the location and characteristics of pollution sources in turbulent flows is challenging, especially for environmental monitoring and emergency response, due to sparse,…

physics.flu-dyn2025

Acceleration of Lagrangian Particles in Shell Models of Turbulence

Lorenzo Piro, Massimo Cencini, Roberto Benzi

Lagrangian acceleration has been investigated both experimentally and numerically in the past, and it has been shown to exhibit extreme fluctuations, which have been rationalized a…

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.…

cond-mat.stat-mech2024

Dissipation-accuracy tradeoffs in autonomous control of smart active matter

Luca Cocconi, Benoît Mahault, Lorenzo Piro

The study of motility control by smart agents offers a promising platform for systematically exploring the fundamental physical constraints underlying the functioning of bio-inspir…

physics.flu-dyn2024★ 8 cited

Many wrong models approach to localize an odor source in turbulence with static sensors

Lorenzo Piro, Robin A. Heinonen, Massimo Cencini +1

The problem of locating an odor source in turbulent flows is central to key applications such as environmental monitoring and disaster response. We address this challenge by design…

cond-mat.soft2023★ 13 cited

Energetic cost of microswimmer navigation: the role of body shape

Lorenzo Piro, Andrej Vilfan, Ramin Golestanian +1

We study the energetic efficiency of navigating microswimmers by explicitly taking into account the geometry of their body. We show that, as their shape transitions from prolate to…

cond-mat.stat-mech2022★ 22 cited

Optimal navigation of microswimmers in complex and noisy environments

Lorenzo Piro, Benoît Mahault, Ramin Golestanian

We design new navigation strategies for travel time optimization of microscopic self-propelled particles in complex and noisy environments. In contrast to strategies relying on the…

physics.bio-ph2020★ 21 cited

Optimal navigation strategies for microswimmers on curved manifolds

Lorenzo Piro, Evelyn Tang, Ramin Golestanian

Finding the fastest path to a desired destination is a vitally important task for microorganisms moving in a fluid flow. We study this problem by building an analytical formalism f…

physics.bio-ph2019★ 12 cited

Collective olfactory search in a turbulent environment

Mihir Durve, Lorenzo Piro, Massimo Cencini +2

Finding the distant source of an odor dispersed by a turbulent flow is a vital task for many organisms, either for foraging or for mating purposes. At the level of individual searc…