Locating a compact odor source using a four-channel insect electroantennogram sensor

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7 Citations (Scopus)

Abstract

Here we demonstrate the feasibility of using an array of live insects to detect concentrated packets of odor and infer the location of an odor source (∼15 m away) using a backward Lagrangian dispersion model based on the Langevin equation. Bayesian inference allows uncertainty to be quantified, which is useful for robotic planning. The electroantennogram (EAG) is the biopotential developed between the tissue at the tip of an insect antenna and its base, which is due to the massed response of the olfactory receptor neurons to an odor stimulus. The EAG signal can carry tens of bits per second of information with a rise time as short as 12 ms (K A Justice 2005 J. Neurophiol. 93 2233-9). Here, instrumentation including a GPS with a digital compass and an ultrasonic 2D anemometer has been integrated with an EAG odor detection scheme, allowing the location of an odor source to be estimated by collecting data at several downwind locations. Bayesian inference in conjunction with a Lagrangian dispersion model, taking into account detection errors, has been implemented resulting in an estimate of the odor source location within 0.2 m of the actual location.

Original languageEnglish (US)
Article number016002
JournalBioinspiration and Biomimetics
Volume6
Issue number1
DOIs
StatePublished - Mar 1 2011

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Odors
Insects
Sensors
Arthropod Antennae
Odorant Receptors
Olfactory Receptor Neurons
Anemometers
Error detection
Social Justice
Robotics
Ultrasonics
Neurons
Uncertainty
Odorants
Global positioning system
Tissue
Antennas
Planning

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Biophysics
  • Biochemistry
  • Molecular Medicine
  • Engineering (miscellaneous)

Cite this

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