This paper presents an algorithm to localize a gas source by using a swarm of robots in a large indoor environment without the presence of a relevant wind.
Aug 15, 2024 · In this paper we address the problem of autonomously localizing multiple gas/odor sources in an indoor environment without a strong airflow. To ...
Abstract - This paper presents an algorithm to localize a gas source by using a swarm of robots in a large indoor environment without the presence of a.
[PDF] Explorative Particle Swarm Optimization method for gas/odor ...
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An algorithm to localize a gas source by using a swarm of robots in a large indoor environment without the presence of a relevant wind and improves the ...
Explorative Particle Swarm Optimization Method for Gas/Odor Source Localization in an Indoor Environment with no Strong Airflow. Ferri G., Caselli E., ...
This paper presents an algorithm to localize a gas source by using a swarm of robots in a large indoor environment without the presence of a relevant wind. The ...
Sep 15, 2024 · Ferri et al. SPIRAL: A novel biologically-inspired algorithm for gas/odor source localization in an indoor environment with no strong airflow ...
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FERRI G, CASELLI E, MATTOLI V, et al. Explorative particle swarm optimization method for gas/odor source localization in an indoor environment with no strong ...
The use of robot swarms for odor source localization (OSL) can better adapt to the reality of unstable turbulence and find chemical contamination or hazard ...
Jan 21, 2011 · SPIRAL: a novel biologically-inspired algorithm for gas/odor source localization in an indoor environment with no strong airflow. Robotics ...
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