1 citations · 1 across the 3 of their papers we have counts for
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Amphibian water to land transition reveals physical limits of olfaction
Martin James, Loranzie S. Rogers, Moreira Salsman +3
The evolutionary transition from water to land required animals to sense and respond to drastically different environments. Chemicals diffuse four orders of magnitude more slowly i…
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…
Learning to crawl: Benefits and limits of centralized vs distributed control
Luca Gagliardi, Agnese Seminara
We present a model of a crawler consisting of several suction units distributed along a straight line and connected by springs. The suction units are rudimentary proprioceptors-act…
Zero-information limit of a collective olfactory search model
Francesco Boccardo, Simone Di Marino, Agnese Seminara
We address the problem of how individuals can integrate efficiently their private behavior with information provided by others within a group. To this end, we consider the model of…
Noise enhances odor source localization
Francesco Marcolli, Martin James, Agnese Seminara
We address the problem of inferring the location of a target that releases odor in the presence of turbulence. Input for the inference is provided by many sensors scattered within…
Q-learning with temporal memory to navigate turbulence
Marco Rando, Martin James, Alessandro Verri +2
We consider the problem of olfactory searches in a turbulent environment. We focus on agents that respond solely to odor stimuli, with no access to spatial perception nor prior inf…