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 Process, which allows the computation of optimal actions and helps in clarifying the relationships between several effective heuristic search strategies.
Olfactory search
Antonio Celani
2024-01-01
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 Process, which allows the computation of optimal actions and helps in clarifying the relationships between several effective heuristic search strategies.
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