Path planning for mobile robots is an important topic in modern robotics. This paper proposes a novel approach to path planning problem for mobile robots, in which the model of the vertexes of obstacles is constructed to describe two-dimensional map of work place of the mobile robot in order to obtain a constrained path function from the start location to the goal location, and further translates the path planning problem into nonlinear constrained function minimum optimization problem, finally using modified particle swarm optimizer optimizes forcefully the function to get the satisfactory collision-free path solution. The effectiveness of the approach is demonstrated by simulation static and dynamic environment.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A novel path planning for mobile robots using modified particle swarm optimizer


    Beteiligte:
    Kaiyou Lei, (Autor:in) / Yuhui Qiu, (Autor:in) / Yi He, (Autor:in)


    Erscheinungsdatum :

    01.01.2006


    Format / Umfang :

    1986076 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    A hierarchical global path planning approach for mobile robots based on multi-objective particle swarm optimization

    Thi Thoa Mac / Copot, Cosmin / Tran, Duc Trung et al. | BASE | 2017

    Freier Zugriff

    Acceleration factor harmonious particle swarm optimizer

    Chen, J. / Pan, F. / Cai, T. | British Library Online Contents | 2006


    Path planning in mobile robots

    BLAKE ANDREW / RAMAMOORTHY SUBRAMANIAN / PENKOV SVETLIN VALENTINOV et al. | Europäisches Patentamt | 2025

    Freier Zugriff

    PATH PLANNING IN MOBILE ROBOTS

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

    Freier Zugriff