IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) -- NOV 03-08, 2013 -- Tokyo, JAPAN ; Gazi, Veysel/0000-0002-4383-9215; Marques, Lino/0000-0002-9396-986X ; WOS:000331367405092 ; This article presents a novel algorithm for multiple odor source localization by a multi-robot system based on a virtual cancelation plume approach. The proposed method is based on rendering a previously declared odor source invisible to the robots so that the declared source and the odor plume it generates do not interfere with the effects of other existing plumes, allowing the localization of the remaining sources. Exploration and plume tracking by the robots is achieved using a decentralized asynchronous particle swarm optimization algorithm. The divergence operator is used to declare the odor sources. A set of simulations and real world experiments are performed on two different scenarios on a controlled environment using a swarm of 5 robots to validate the proposed methodology. Results show that the virtual plume cancelation algorithm can be successfully used to find multiple odor sources, even when two plumes overlap. It can also extend the operation of many odor source localization algorithms developed for single source localization. ; IEEE, IEEE Robot & Automat Soc, IEEE Ind Elect Soc, Robot Soc Japan, New Technol Fdn, Soc Instrument & Control Engineers, Kawada Robot, Reflexxes GmbH, Telecommunicat Advancement Fdn, Tateisi Sci & Technol Fdn ; European Community's Seventh Framework Program [FP7/2007-2013, 284747] ; This work was partially carried-out in the framework of TIRAMISU project. This project is funded by the European Communitys Seventh Framework Program (FP7/2007-2013) under grant 284747


    Access

    Download


    Export, share and cite



    Title :

    Virtual cancelation plume for multiple odor source localization


    Contributors:

    Publication date :

    2013-01-01


    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629



    ODOR NEUTRALIZING APPARATUS WITH INTEGRATED NOISE CANCELATION SYSTEM

    ANDREWS NICHOLAS | European Patent Office | 2019

    Free access

    Resource-aware Probability-based Collaborative Odor Source Localization Using Multiple UAVs

    Wang, Shan / Sun, Sheng / Liu, Min et al. | ArXiv | 2023

    Free access

    Braitenberg's vehicle-like odor plume tracking robot

    Takei, Yoshinori / Shimizu, Yuhei / Hirasawa, Kazuki et al. | IEEE | 2014


    Reactive Searching and Infotaxis in Odor Source Localization

    Voges, Nicole / Chaffiol, Antoine / Lucas, Philippe et al. | BASE | 2014

    Free access

    A Novel Odor Source Localization Method via a Deep Neural Network-Based Odor Compass

    Yan, Zheng / Jing, Tao / Chen, Si-Wen et al. | Springer Verlag | 2022