• DocumentCode
    270768
  • Title

    Bio-inspired architecture for a reactive-deliberative robot controller

  • Author

    Rubilar, Fabian ; Escobar, María-josé ; Arredondo, Tomás

  • Author_Institution
    Dept. of Electron. Eng., Univ. Tec. Federico Santa Maria, Valparaiso, Chile
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    2027
  • Lastpage
    2035
  • Abstract
    An incremental, bio-inspired control architecture for robots is proposed. The architecture is composed of two layers where each layer is intended to react in an analogous way to how our brain reacts to external and internal stimuli, using instinctive or deliberative reactions. The first layer, the Drive/Emotional Controller (DE Controller), uses Action Programs which are instinctual, low-level responses to a certain external stimuli. The second layer, the Deliberative/Reflective Controller (DR Controller), can only react to changes in the internal state of the DE controller. Memory, self-reflection, feelings and imagination are some of the concepts that could be considered by the DR Controller architecture, which is intended to generate high-level conscious reactions. These controllers integrate emotions into standard behavior-based architectures. We tested the proposed architecture in a task of free exploration using MODI, a two-wheeled mobile robot. Two DR controllers are tested in three different scenarios validating the proposed architecture in robotic applications.
  • Keywords
    intelligent robots; mobile robots; DE controller; DR controller architecture; MODI; action programs; bioinspired control architecture; deliberative-reflective controller; drive-emotional controller; emotion integration; incremental control architecture; reactive deliberative robot controller; self-reflection; standard behavior-based architecture; wheeled mobile robot; Actuators; MODIS; Process control; Robot sensing systems; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), 2014 International Joint Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-6627-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.2014.6889813
  • Filename
    6889813