Olfactory search
Biological Physics
2024-05-07 v1
Abstract
The task of olfactory search is ubiquitous in nature and in technology, from animals in the quest of food or of a mating partner, to robots searching for the source of hazardous fumes in a chemical plant. Here, we focus on the algorithmic approach to this task: we systematically review the different olfactory search strategies. Special emphasis is given to the formal description as a Partially Observable Markov Decision Processes, which allows the computation of optimal actions and helps clarifying the relationships between several effective heuristic search strategies.
Cite
@article{arxiv.2405.03374,
title = {Olfactory search},
author = {Antonio Celani and Emanuele Panizon},
journal= {arXiv preprint arXiv:2405.03374},
year = {2024}
}
Comments
22 pages, 1 figure, review