As the basic system of the rescue robot, the SLAM system largely determines whether the rescue robot can complete the rescue mission. Although the current 2D Lidar-based SLAM algorithm, including its application in indoor rescue environment, has achieved much success, the evaluation of SLAM algorithms combined with path planning for indoor rescue has rarely been studied. This paper studies mapping and path planning for mobile robots in an indoor rescue environment. Combined with path planning algorithm, this paper analyzes the applicability of three SLAM algorithms (GMapping algorithm, Hector-SLAM algorithm, and Cartographer algorithm) in indoor rescue environment. Real-time path planning is studied to test the mapping results. To balance path optimality and obstacle avoidance, A∗ algorithm is used for global path planning, and DWA algorithm is adopted for local path planning. Experimental results validate the SLAM and path planning algorithms in simulated, emulated, and competition rescue environments, respectively. Finally, the results of this paper may facilitate researchers quickly and clearly selecting appropriate algorithms to build SLAM systems according to their own demands.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    2D Lidar-Based SLAM and Path Planning for Indoor Rescue Using Mobile Robots


    Beteiligte:
    Xuexi Zhang (Autor:in) / Jiajun Lai (Autor:in) / Dongliang Xu (Autor:in) / Huaijun Li (Autor:in) / Minyue Fu (Autor:in)


    Erscheinungsdatum :

    2020




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




    A path planning framework for indoor low-cost mobile robots

    Zuo, Sixiang / Yongsheng, Ou. / Zhu, Xiaorui | IEEE | 2017


    PATH PLANNING IN MOBILE ROBOTS

    BLAKE ANDREW / RAMAMOORTHY SUBRAMANIAN / PENKOV SVETLIN VALENTINOV et al. | Europäisches Patentamt | 2022

    Freier Zugriff

    Path planning in mobile robots

    BLAKE ANDREW / RAMAMOORTHY SUBRAMANIAN / PENKOV SVETLIN-VALENTINOV et al. | Europäisches Patentamt | 2023

    Freier Zugriff

    Improving the Mobile Robots Indoor Localization System by Combining SLAM with Fiducial Markers

    de Oliveira Junior, Alexandre / Piardi, Luis / Bertogna, Eduardo Giometti et al. | IEEE | 2021


    Investigation of Cooperative SLAM for Low Cost Indoor Robots

    Qutteineh, Jafar | BASE | 2016

    Freier Zugriff