28 citations · 136 across the 17 of their papers we have counts for
17 papers
Clock-state olfactory search in turbulent flows using Q-learning: The geometry of plume recovery
Marco Rando, Robin A. Heinonen, Yujia Qi +1
Finding an odor source in a turbulent flow requires effectively leveraging the history of olfactory observations into a robust navigation strategy. In this work, we use tabular Q-l…
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…
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…
Asymptotics of solutions to the linear search problem
Robin A. Heinonen
The exact leading asymptotics of solutions to the symmetric linear search problem are obtained for any positive probability density on the real line with a monotonic, sufficiently…
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,…
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.…
Exploring Bayesian olfactory search in realistic turbulent flows
Robin A. Heinonen, Luca Biferale, Antonio Celani +1
The problem of tracking the source of a passive scalar in a turbulent flow is relevant to flying insect behavior and several other applications. Extensive previous work has shown t…
Optimal trajectories for Bayesian olfactory search in turbulent flows: the low information limit and beyond
Robin A. Heinonen, Luca Biferale, Antonio Celani +1
In turbulent flows, tracking the source of a passive scalar cue requires exploiting the limited information that can be gleaned from rare, stochastic encounters with the cue. When…
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…
Deep reinforcement learning for the olfactory search POMDP: a quantitative benchmark
Aurore Loisy, Robin A. Heinonen
The olfactory search POMDP (partially observable Markov decision process) is a sequential decision-making problem designed to mimic the task faced by insects searching for a source…
Optimal policies for Bayesian olfactory search in turbulent flows
Robin A. Heinonen, Luca Biferale, Antonio Celani +1
In many practical scenarios, a flying insect must search for the source of an emitted cue which is advected by the atmospheric wind. On the macroscopic scales of interest, turbulen…
Magnetic ground states of a model for (TM)NbS, TM=Co, Fe, Ni
O. Heinonen, R. A. Heinonen, H. Park
The transition-metal intercalated dichalcogenide CoNbS is a triangular antiferromagnet that has recently been shown to exhibit a large anomalous Hall effect (AHE) below the…
Generation of momentum transport in weakly turbulent -plane magnetohydrodynamics
R. A. Heinonen, P. H. Diamond, M. F. D. Katz +1
Magnetohydrodynamic (MHD) turbulence on a -plane with an in-plane mean field, a system which serves as a simple model for the solar tachocline, is investigated analytically and…
Turbulence model reduction by deep learning
R. A. Heinonen, P. H. Diamond
A central problem of turbulence theory is to produce a predictive model for turbulent fluxes. These have profound implications for virtually all aspects of the turbulence dynamics.…
Diffusion coefficients in the envelopes of white dwarfs
R. A. Heinonen, D. Saumon, J. Daligault +3
The diffusion of elements is a key process in understanding the unusual surface composition of white dwarfs stars and their spectral evolution. The diffusion coefficients of Paquet…
Subcritical turbulence spreading and avalanche birth
R. A. Heinonen, P. H. Diamond
In confined plasmas, a localized fluctuation in a marginal or weakly damped region will propagate and generate an avalanche if it exceeds a threshold. In this letter, a new model f…
Structure Relations and Darboux Contractions for 2D 2nd Order Superintegrable Systems
Robin Heinonen, Ernest G. Kalnins, Willard Miller +1
Two-dimensional quadratic algebras are generalizations of Lie algebras that include the symmetry algebras of 2nd order superintegrable systems in 2 dimensions as special cases. The…