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A New Approach to Biomimetic Robots for Odor Source Localization

Liang Liang, Jianping Li, Jian Jia, Xiaoguang Gao

Year
2006
Citations
3

Abstract

Tracking odor to its source is the survival instinct of many animals gained in evolution, and that capability can be transferred to robotics. This paper describes a new and practical investigation of biomimetic robots for odor source localization. An embedded mobile robot platform was developed to process multi-tasks. A new odor sensing unit with a special data fusion algorithm was designed to enable fast and realtime sensing. Inspired by animals' behaviour and based on odor predictions, a novel algorithm was designed to locate an odor source. Results of indoor experiments show that the robot can find a static odor source and follow a moving odor source.

Keywords

OdorRobotMobile robotArtificial intelligenceComputer scienceProcess (computing)Tracking (education)RoboticsComputer visionBiology

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