{"title":"3D moth-inspired chemical plume tracking","authors":"B. Gao, Hongbo Li, F. Sun","doi":"10.1109/ROBIO.2015.7419031","DOIUrl":null,"url":null,"abstract":"This paper analyzes the conventional moth inspired chemical plume tracking, and presents a 3D moth-inspired CPT using multi-sensors. The aim of CPT is tracking a target chemical flow back to its source and declaring its location. While the moths acturally perform their CPT in 3D space, the majority of related works are based on wheels robots in 2D. Nowadays the rapid development of rotorcrafts makes the 3D plume tracking possible. Hence in this paper, we first present a detailed analysis of moth-inspired CPT work flow, then extend the orthodox moth-inspired CPT from 2D to 3D. Our simulation results demonstrate that our the multi-sensor CPT strategy proposed is a feasible and efficient method to locate odour source.","PeriodicalId":325536,"journal":{"name":"2015 IEEE International Conference on Robotics and Biomimetics (ROBIO)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Robotics and Biomimetics (ROBIO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROBIO.2015.7419031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper analyzes the conventional moth inspired chemical plume tracking, and presents a 3D moth-inspired CPT using multi-sensors. The aim of CPT is tracking a target chemical flow back to its source and declaring its location. While the moths acturally perform their CPT in 3D space, the majority of related works are based on wheels robots in 2D. Nowadays the rapid development of rotorcrafts makes the 3D plume tracking possible. Hence in this paper, we first present a detailed analysis of moth-inspired CPT work flow, then extend the orthodox moth-inspired CPT from 2D to 3D. Our simulation results demonstrate that our the multi-sensor CPT strategy proposed is a feasible and efficient method to locate odour source.