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Related Experiment Video

Updated: Feb 9, 2026

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Electroantennography-based Bio-hybrid Odor-detecting Drone using Silkmoth Antennae for Odor Source Localization

Published on: August 27, 2021

A Robot Equipped with a High-Speed LSPR Gas Sensor Module for Collecting Spatial Odor Information from On-Ground

Zhongyuan Yang¹, Fumihiro Sassa¹, Kenshi Hayashi¹

¹Graduate School and Faculty of Information Science and Electrical Engineering , Kyushu University , 744 Motooka , Nishi-ku , Fukuoka 819-0395 Japan.

|June 1, 2018

Summary

This study presents a mobile robot with a high-speed gas sensor for efficient odor detection. The robot accurately maps gas distribution from ground sources at high resolution, advancing environmental sensing capabilities.

Keywords:

gas detection localized surface plasmon resonance mobile robot odor robot on-ground odor source

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Area of Science:

Robotics
Sensor Technology
Environmental Science

Background:

Detecting spatial gas distribution with mobile robots is challenging due to slow sensor speeds.
Rapid gas sample collection is crucial for efficient environmental sensing.

Purpose of the Study:

To develop a mobile robot equipped with a high-speed gas sensor for improved spatial gas detection.
To demonstrate the robot's capability in high-resolution odor source mapping.

Main Methods:

Developed a mobile robot integrating a localized surface plasmon resonance (LSPR)-based high-speed gas sensor module.
Utilized fine sampling tubing positioned close to the ground to minimize sampling time and diffusion effects.
Conducted experiments detecting on-ground ethanol odor sources.

Main Results:

Achieved high-resolution detection of on-ground ethanol odor sources.
Demonstrated successful gas information reading with the developed robot system.
The robot achieved 2.5 cm resolution while moving at 10 cm/s.

Conclusions:

The developed robot system enhances the efficiency of spatial gas distribution detection.
This technology can aid in the development of environmental sensing robots for odor mapping.
Potential applications include multi-robot systems for pheromone tracing and environmental monitoring.