A neuro-fuzzy control method for navigation of an autonomous guided vehicle robot is described. Robot navigation is defined as the guiding of a mobile robot to a desired destination or along a desired path in an environment characterized by as terrain and a set of distinct objects, such as obstacles and landmarks. The autonomous navigation ability and road following precision are mainly influenced by its control strategy and real-time control performance. Neural network and fuzzy logic control techniques can improve real-time control performance for mobile robot due to its high robustness and error-tolerance ability. For a mobile robot to navigate automatically and rapidly, an important factor is to identify and classify mobile robots' currently perceptual environment. In this paper, a new approach of the current perceptual environment feature identification and classification, which are based on the analysis of the classifying neural network and the neuro-fuzzy algorithm, is presented. The significance of this work lies in the development of a new method for mobile robot navigation.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Reactive navigation for autonomous guided vehicle using neuro-fuzzy techniques


    Beteiligte:
    Cao, J. (Autor:in) / Liao, X. (Autor:in) / Hall, E. (Autor:in)


    Erscheinungsdatum :

    1999


    Format / Umfang :

    10 Seiten, 12 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Reactive navigation for autonomous guided vehicle using neuro-fuzzy techniques

    Cao, Jin / Liao, Xiaoqun / Hall, Ernest L. | SPIE | 1999


    Local navigation and fuzzy control realization for autonomous guided vehicle

    El-Konyaly, El-Sayed H. / Saraya, Sabry F. / Shehata, Raef S. | SPIE | 1996



    Indoor Navigation of an Autonomous Guided Vehicle Using ArUco Markers

    Figueiredo, Fernando A. V. / Pereira, Eduardo G. C. / Vasques, César M. A. | Springer Verlag | 2023