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Related Concept Videos

Olfaction01:25

Olfaction

46.7K
The sense of smell is achieved through the activities of the olfactory system. It starts when an airborne odorant enters the nasal cavity and reaches olfactory epithelium (OE). The OE is protected by a thin layer of mucus, which also serves the purpose of dissolving more complex compounds into simpler chemical odorants. The size of the OE and the density of sensory neurons varies among species; in humans, the OE is only about 9-10 cm2.
The olfactory receptors are embedded in the cilia of the...
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Physiology of Smell and Olfactory Pathway01:20

Physiology of Smell and Olfactory Pathway

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Humans detect odors with the help of specialized cells located in the upper part of the nasal cavity, called olfactory receptor neurons (ORNs). ORNs possess hair-like structures called cilia, which are receptive to sensations from the inhaled air. When an odorant molecule binds to a specific receptor on the cell of the cilia, it leads to a series of events that ultimately cause the ORN to send electrical signals to the olfactory bulb in the brain through the olfactory nerves.
The olfactory...
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Related Experiment Video

Updated: Nov 10, 2025

Using Insect Electroantennogram Sensors on Autonomous Robots for Olfactory Searches
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A Simulation Framework for the Integration of Artificial Olfaction into Multi-Sensor Mobile Robots.

Pepe Ojeda1, Javier Monroy1, Javier Gonzalez-Jimenez1

  • 1Machine Perception and Intelligent Robotics Group, System Engineering and Automation Department, Biomedical Research Institute of Málaga (IBIMA), Campus de Teatinos, University of Málaga, 29071 Málaga, Spain.

Sensors (Basel, Switzerland)
|April 3, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a new framework for simulating gas dispersal and sensing alongside vision. This integration enhances the development of advanced, multi-sensor olfactory robotics applications.

Keywords:
CFDartificial olfactioncomputer visiongas dispersionmobile roboticssimulation engine

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Area of Science:

  • Robotics
  • Computational Chemistry
  • Computer Science

Background:

  • Simulating gas dispersal is crucial for developing olfaction-based autonomous agents.
  • Existing simulators lack convenient integration with other sensory modalities like vision.
  • This limitation hinders the creation of advanced, multi-sensor olfactory robotics.

Purpose of the Study:

  • To present a novel framework for simulating gas dispersal and sensing concurrently with vision.
  • To facilitate the development of sophisticated multi-sensor olfactory robotics applications.
  • To bridge the gap between gas simulation and multi-modal sensing in robotics research.

Main Methods:

  • Integration of GADEN (Gas Dispersion Simulator) with the Unity 3D game engine.
  • Development of a framework enabling simultaneous simulation of gas dispersal and visual environments.
  • Leveraging Unity 3D for creating visually realistic and complex research environments.

Main Results:

  • A functional framework for integrated gas dispersal and vision simulation.
  • Demonstration of the framework's capability to support advanced olfactory robotics.
  • Potential for enhanced realism and complexity in simulated robotic environments.

Conclusions:

  • The developed framework offers a convenient solution for integrating gas simulation with vision.
  • This advancement is expected to accelerate research in multi-sensor olfactory robotics.
  • The tool provides a versatile platform for exploring cutting-edge applications in the field.