This paper presents the experimental application of an autonomous mobile robot for gas leak detection in indoor environments. The application is focused to automatize a human-risky operation in indoor areas. The goal of the autonomous mobile robot is the localization of a toxic gas leak source. So, the mobile robot has to explore the whole area and perform an auto-localization procedure based on a SLAM method and a LIDAR sensor. The mobile robot measures gas concentration by using a photoionization detector. The experimentation was realized in a large indoor environment in a university facility with a simulated gas leak source. The combination of the results from the auto-localization procedure with the information of the sensors allows the estimation of the gas leak source location.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Experimental application of an autonomous mobile robot for gas leak detection in indoor environments


    Contributors:


    Publication date :

    2014-07-01


    Size :

    368805 byte



    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Indoor autonomous mobile robot

    ZHU JIANYANG / ZHANG XUYANG / JIANG LIN et al. | European Patent Office | 2021

    Free access

    Autonomous indoor mobile working robot - Application for construction field

    Fukuda, T. / Shimojima, K. / Abe, Y. et al. | British Library Online Contents | 1995


    Landmark-Oriented Visual Navigation of an Autonomous Mobile Robot in Indoor Environments

    Gilg, A. / Schmidt, G. / IFAC | British Library Conference Proceedings | 1993


    Object detection applied to indoor environments for mobile robot navigation

    Hernández Silva, Alejandra Carolina / Gómez Blázquez, Clara / Crespo Herrero, Jonathan et al. | BASE | 2016

    Free access

    Monocular vision based autonomous indoor mobile service robot

    Emarose, Sriram / Ranganathan, M. D. / Siranjeevi, M. et al. | IEEE | 2015