From the 1 of 4 linked papers with an AI index.
4 papers
Learning Backward Transport for Source Localization
Maurizio Carbone, Lorenzo Piro
The paper introduces a backward‑transport approach, using Schrödinger bridge theory and Langevin dynamics, to infer the location of a chemical source from concentration measurement…
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…
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.…