Insect-Like Odor Classification and Localization on an Autonomous Robot

Lopez-Serrano, Lucas; Vouloutsi, Vasiliki; Chimeno, Alex Escudero; Mathews, Zenon; Verschure, Paul F. M. J.

doi:10.1007/978-3-642-31525-1_47

Cited by 3 publications

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To test the model on the robotic platform and collect data, several experiments in the wind tunnel with the robotic platform were performed. Chemical search tasks with multiple odors were performed and the system was able to navigate autonomously and find ethanol or ammonia sources in presence of both plumes 19 . …”

Section: Odour Source Localizationmentioning

confidence: 99%

Biologically inspired large scale chemical sensor arrays and embedded data processing

et al. 2013

View full text Add to dashboard Cite

Biological olfaction outperforms chemical instrumentation in specificity, response time, detection limit, coding capacity, time stability, robustness, size, power consumption, and portability. This biological function provides outstanding performance due, to a large extent, to the unique architecture of the olfactory pathway, which combines a high degree of redundancy, an efficient combinatorial coding along with unmatched chemical information processing mechanisms. The last decade has witnessed important advances in the understanding of the computational primitives underlying the functioning of the olfactory system. EU Funded Project NEUROCHEM (Bio-ICT-FET-216916) has developed novel computing paradigms and biologically motivated artefacts for chemical sensing taking inspiration from the biological olfactory pathway. To demonstrate this approach, a biomimetic demonstrator has been built featuring a large scale sensor array (65K elements) in conducting polymer technology mimicking the olfactory receptor neuron layer, and abstracted biomimetic algorithms have been implemented in an embedded system that interfaces the chemical sensors. The embedded system integrates computational models of the main anatomic building blocks in the olfactory pathway: the olfactory bulb, and olfactory cortex in vertebrates (alternatively, antennal lobe and mushroom bodies in the insect). For implementation in the embedded processor an abstraction phase has been carried out in which their processing capabilities are captured by algorithmic solutions. Finally, the algorithmic models are tested with an odour robot with navigation capabilities in mixed chemical plumes .

show abstract

Section: Odour Source Localizationmentioning

confidence: 99%