• DocumentCode
    2257830
  • Title

    Experience driven adaptive behaviour of autonomous humanoid robots

  • Author

    Nauth, Peter

  • Author_Institution
    Fachhochschule Frankfurt a.M., Univ. of Appl. Sci., Frankfurt, Germany
  • fYear
    2011
  • fDate
    13-15 Sept. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Autonomous robots need to learn intelligent behaviour by interacting with the real world and adapting to changing environments. In order to study the adaptive behaviour of intelligent systems, an autonomous humanoid robot has been developed which understands goals, senses its environment in context with the goal and operates independently by means of experience gathering and a self-generating will.
  • Keywords
    adaptive systems; humanoid robots; intelligent control; autonomous humanoid robots; experience driven adaptive behaviour; experience gathering; intelligent behaviour; intelligent systems; self-generating will; Intelligent sensors; Pain; Robot kinematics; Robot sensing systems; Speech recognition; Adaptive Behaviour; Artificial Intelligence; Autonomous Systems; Computational Intelligence; Embodiment; Emotion-based Decision Making; Goal Understanding; Humanoid Robots; Self-Generating Will;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    AFRICON, 2011
  • Conference_Location
    Livingstone
  • ISSN
    2153-0025
  • Print_ISBN
    978-1-61284-992-8
  • Type

    conf

  • DOI
    10.1109/AFRCON.2011.6072029
  • Filename
    6072029
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2257830