Swarm intelligence algorithms can coordinate multiple robots to search for odor sources and effectively solve the defects of a single robot in the process of odor source localization, such as poor robustness and quickly falling into a locally optimal solution.
This paper presents an investigation of odor localization by groups of autonomous mobile robots using principles of swarm intelligence.
Abstract. This paper presents an investigation of odor localization by groups of autonomous mobile robots using principles of. Swarm Intelligence.
This paper presents an investigation of odor localization by groups of autonomous mobile robots using principles of Swarm Intelligence.
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localization by groups of autonomous mobile robots using principles of Swarm Intelligence. We describe a distributed algorithm by which groups of agents can ...
Nov 30, 2022 · Swarm intelligence algorithms can coordinate multiple robots to search for odor sources and effectively solve the defects of a single robot in ...
Abstract—A multiple odor sources search strategy based on a modified ant algorithm is proposed to enable the multi-robot system to search for the odor ...
SUMMARY. This paper presents an investigation of odor localization by groups of autonomous mobile robots using principles of. Swarm Intelligence.
This article presents a behavior-based navigation algorithm for using on a mobile robot to locate an odor source in an unknown environment.
Researchers need to implement robot swarms on a large scale to exploit the robust nature of odor localization systems. A handy real-world odor localization ...