The primary objective of the present study is to advance the development of an intelligent and autonomous robotic system that possesses the ability to independently plan its movements across a wide range of situations without the need for human interaction. Path planning is a crucial technological aspect that facilitates the intelligent navigation of mobile robots in environments that are abundant in obstacles. The research utilizes the Particle Swarm Optimization (PSO) method to determine an ideal trajectory for a mobile robot, considering obstacle avoidance. The findings of this study indicate that the technique employed exhibits an important level of effectiveness in successfully navigating obstacles and attaining the most optimal route. The optimization issues were assessed by utilizing a range of static impediments in diverse contexts.a


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Optimizing Robot Path Planning with the Particle Swarm Optimization Algorithm


    Beteiligte:

    Erscheinungsdatum :

    2023-09-14


    Anmerkungen:

    Eurasian Journal of Engineering and Technology; Vol. 21 (2023): EJET; 69-77 ; 2795-7640


    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629




    Vehicle Path Planning Method Based on Particle Swarm Optimization Algorithm

    Yu, Sheng Long ;Bo, Yu Ming ;Chen, Zhi Min | Trans Tech Publications | 2012


    Path Planning of Quadrotor Based on Quantum Particle Swarm Optimization Algorithm

    Zhou, De Xin ;Ma, Xin Chao ;Ma, Teng Da | Trans Tech Publications | 2013


    UAVs Path Planning by Particle Swarm Optimization Based on Visual-SLAM Algorithm

    Mughal, Umair Ahmad / Ahmad, Ishtiaq / Pawase, Chaitali J. et al. | Springer Verlag | 2022



    Particle Swarm Optimization for Fixed-Wing UAV Path Planning

    Lv, Yutao / Chen, Yongming / Tian, Jianming | Springer Verlag | 2022