Resumé
| Originalsprog | Engelsk |
|---|---|
| Titel | Proceedings of the 2019 IEEE International Conference on Cyborg and Bionic Systems |
| Antal sider | 7 |
| Status | Accepteret/In press - 2019 |
Fingeraftryk
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A chemosensory navigation model inspired by the neural odour processing mechanism in cockroaches. / Zurro, Alejandro Pequeno; Rano, Inaki; Shaikh, Danish.
Proceedings of the 2019 IEEE International Conference on Cyborg and Bionic Systems. 2019.Publikation: Bidrag til bog/antologi/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review
TY - GEN
T1 - A chemosensory navigation model inspired by the neural odour processing mechanism in cockroaches
AU - Zurro, Alejandro Pequeno
AU - Rano, Inaki
AU - Shaikh, Danish
PY - 2019
Y1 - 2019
N2 - Cockroaches orient towards and track plumes of airborne odours using simple yet sophisticated processing of odour concentration stimuli. The orientation behaviour is driven not only by instantaneous sampling of odour concentration but by the temporal dynamics of the odour signal as well. These temporal changes in the odour signal are processed by specialised ON-OFF olfactory receptor neurons that encode rate of change of odour concentration. We present a neurorobotic model for chemosensory navigation that implements such sensory processing. Our model is embodied in a simulated Braitenberg vehicle that can orient towards and track an odour plume characterised by a Gaussian distribution of odour concentration. The model’s parameters are tuned via an optimisation algorithm. Our simulation results demonstrate that the vehicle with optimised model parameters is able to orient towards the plume.
AB - Cockroaches orient towards and track plumes of airborne odours using simple yet sophisticated processing of odour concentration stimuli. The orientation behaviour is driven not only by instantaneous sampling of odour concentration but by the temporal dynamics of the odour signal as well. These temporal changes in the odour signal are processed by specialised ON-OFF olfactory receptor neurons that encode rate of change of odour concentration. We present a neurorobotic model for chemosensory navigation that implements such sensory processing. Our model is embodied in a simulated Braitenberg vehicle that can orient towards and track an odour plume characterised by a Gaussian distribution of odour concentration. The model’s parameters are tuned via an optimisation algorithm. Our simulation results demonstrate that the vehicle with optimised model parameters is able to orient towards the plume.
M3 - Article in proceedings
BT - Proceedings of the 2019 IEEE International Conference on Cyborg and Bionic Systems
ER -