This paper describes reactive neural control used to generate phototaxis and obstacle avoidance behavior of walking machines. It utilizes discrete-time neurodynamics and consists of two main neural modules: neural preprocessing and modular neural control. The neural preprocessing network acts as a sensory fusion unit. It filters sensory noise and shapes sensory data to drive the corresponding reactive behavior. On the other hand, modular neural control based on a central pattern generator is applied for locomotion of walking machines. It coordinates leg movements and can generate omnidirectional walking. As a result, through a sensorimotor loop this reactive neural controller enables the machines to explore a dynamic environment by avoiding obstacles, turn toward a light source, and then stop near to it.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Reactive Neural Control for Phototaxis and Obstacle Avoidance Behavior of Walking Machines


    Beteiligte:

    Erscheinungsdatum :

    2007-11-25


    Anmerkungen:

    oai:zenodo.org:1076922



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629




    Humanoid walking tracking obstacle avoidance robot

    GUO HAIFENG / JIA WENCAN | Europäisches Patentamt | 2023

    Freier Zugriff

    Crawler belt type walking obstacle avoidance mechanism

    PU JUNTAO | Europäisches Patentamt | 2020

    Freier Zugriff

    Artificial intelligence automatic obstacle avoidance walking device

    SUN JIAHUI | Europäisches Patentamt | 2021

    Freier Zugriff

    Artificial intelligence automatic obstacle avoidance walking chassis

    JIE QIYUAN | Europäisches Patentamt | 2024

    Freier Zugriff

    Artificial intelligence automatic obstacle avoidance walking chassis

    HE ZELIANG | Europäisches Patentamt | 2021

    Freier Zugriff