• DocumentCode
    3233917
  • Title

    Autonomous action selection with motivation-based consciousness and behavior architecture of animal

  • Author

    Hayashi, Eiji ; Ueyama, Kei ; Yoshida, Motoki

  • Author_Institution
    Dept. of Mech. Inf. Sci. & Technol., Kyushu Inst. of Technol., Fukuoka, Japan
  • fYear
    2011
  • fDate
    6-8 Dec. 2011
  • Firstpage
    294
  • Lastpage
    299
  • Abstract
    This paper presents an autonomous action selection system that incorporated a motivation model, and a motion control system to achieve natural behaviors showing human emotion such love, pity etc. We have attempted to give a robot "consciousness" and "emotion" such as that identified in humans and animals in order to enhance the affinity between humans and robots. A hierarchical structure model for such a robot has been developed to connect the robot\´s consciousness with the robot\´s behavior. However, it is difficult to autonomously control the timing and the motion that selects the consciousness and behavior of the robot, whatever the time and position. A motivation model has therefore been developed, and it was combined with the hierarchical structure model to induce and autonomously select consciousness and behavior. The action of dopamine in neurotransmitters was then incorporated into the motivation model to add activity to the robot in conjunction with the incentive to perform a behavior. As a result, this system allows a robot to behave naturally in any situation.
  • Keywords
    mobile robots; motion control; affinity enhancement; autonomous action selection system; behavior architecture; motion control system; motivation model; motivation-based consciousness; neurotransmitters; robot consciousness; robot emotion; Animals; Elbow; Humans; Joints; Robots; Shoulder; Wrist; Consciousness; Motion; Motivation; selection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation, Robotics and Applications (ICARA), 2011 5th International Conference on
  • Conference_Location
    Wellington
  • Print_ISBN
    978-1-4577-0329-4
  • Type

    conf

  • DOI
    10.1109/ICARA.2011.6144898
  • Filename
    6144898