The paper presents an improved modified chaotic invasive weed optimization (IMCIWO) approach for solving a multi-target assignment for humanoid robot navigation. MCIWO is improved by utilizing the Bezier curve for smoothing the path and replaces the conventional split lines. In order to efficiently determine subsequent locations of the robot from the present location on the provided terrain, such that the routes to be specifically generated for the robot are relatively small, with the shortest distance from the barriers that have been generated using the IMCIWO approach. The MCIWO approach designed the path based on obstacles and targets position which is further smoothened by the Bezier curve. Simulations are performed which is further validated by real-time experiments in WEBOT and NAO robot respectively. They show good effectiveness with each other with a deviation of under 5%. Ultimately, the superiority of the developed approach is examined with existing techniques for navigation, and findings are substantially improved.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Improved Modified Chaotic Invasive Weed Optimization Approach to Solve Multi-Target Assignment for Humanoid Robot


    Beteiligte:

    Erscheinungsdatum :

    2021-05-05


    Anmerkungen:

    doi:10.18196/jrc.2377
    Journal of Robotics and Control (JRC); Vol 2, No 3 (2021): May; 194-199 ; 2715-5072 ; 2715-5056



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629




    Modified invasive weed optimization-based path exploration for mobile robot

    Dhal, Ipsit Kumar / Kumar, Saroj / Parhi, Dayal R. | Emerald Group Publishing | 2024



    Discrete invasive weed optimization algorithm: application to cooperative multiple task assignment of UAVs

    Ghalenoei, Mohsen Ramezani / Hajimirsadeghi, Hossein / Lucas, Caro | Tema Archiv | 2009


    HUMANOID ROBOT

    AMINO AZUSA / ICHINOSE RYOKO / NAKAMURA RYOSUKE et al. | Europäisches Patentamt | 2019

    Freier Zugriff

    Humanoid robot

    AMINO AZUSA / ICHINOSE RYOKO / NAKAMURA RYOSUKE et al. | Europäisches Patentamt | 2021

    Freier Zugriff