Navigation is a key technology of mobile robot. The information of path planning for navigation is always incomplete in dynamic time-varying environment. In this paper, based on grid environmental model, an improved algorithm of path planning is proposed combining ant colony optimization with rolling window for an unknown complex environment with obstacles. A sub-target point can be searched within a rolling window according to the heuristic information about a target point, the improved algorithm can plan a local optimal path for the mobile robot in a rolling window. Simulations show that the improved method is feasible for path planning in an unknown environment.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    An Improved Algorithm of Path Planning for a Mobile Robot



    Erschienen in:

    Erscheinungsdatum :

    2013-09-03


    Format / Umfang :

    4 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Research on dynamic path planning of mobile robot based on improved DDPG algorithm

    Li, Peng / Ding, Xiangcheng / Sun, Hongfang et al. | BASE | 2021

    Freier Zugriff

    New Harmony Search Algorithm for Mobile Robot Path Planning

    Quan, Yongbin / Wei, Wenqi / Ouyang, Haibin et al. | Springer Verlag | 2021


    Robot Path Planning Research Incorporating Improved A* Algorithm and DWA Algorithm

    Qu, Shiya / Feng, Guang / Jiang, Yuhang et al. | BASE | 2023

    Freier Zugriff

    Real-Time Path Planning Algorithm Based on ROS Mobile Robot

    Cao, Kai / Dang, Haixin / Chen, Chaobo et al. | Springer Verlag | 2022


    Arrival time field based path planning algorithm for mobile robot

    Majid, Imaduddin A. / Cahyadi, Adha Imam / Ardiyanto, Igi et al. | IEEE | 2016