• DocumentCode
    3310901
  • Title

    CRAM — A Cognitive Robot Abstract Machine for everyday manipulation in human environments

  • Author

    Beetz, Michael ; Mösenlechner, Lorenz ; Tenorth, Moritz

  • Author_Institution
    Dept. of Inf., Tech. Univ. Munchen, Garching, Germany
  • fYear
    2010
  • fDate
    18-22 Oct. 2010
  • Firstpage
    1012
  • Lastpage
    1017
  • Abstract
    This paper describes CRAM (Cognitive Robot Abstract Machine) as a software toolbox for the design, the implementation, and the deployment of cognition-enabled autonomous robots performing everyday manipulation activities. CRAM equips autonomous robots with lightweight reasoning mechanisms that can infer control decisions rather than requiring the decisions to be preprogrammed. This way CRAM-programmed autonomous robots are much more flexible, reliable, and general than control programs that lack such cognitive capabilities. CRAM does not require the whole domain to be stated explicitly in an abstract knowledge base. Rather, it grounds symbolic expressions in the knowledge representation into the perception and actuation routines and into the essential data structures of the control programs. In the accompanying video, we show complex mobile manipulation tasks performed by our household robot that were realized using the CRAM infrastructure.
  • Keywords
    cognitive systems; knowledge representation; manipulators; mobile robots; program compilers; robot programming; symbol manipulation; CRAM programmed autonomous robots; abstract knowledge base; cognition enabled autonomous robots; cognitive capability; cognitive robot abstract machine; complex mobile manipulation activity; control programs; household robot; human environment; infer control decision; knowledge representation; lightweight reasoning mechanism; software toolbox; symbolic expression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ International Conference on
  • Conference_Location
    Taipei
  • ISSN
    2153-0858
  • Print_ISBN
    978-1-4244-6674-0
  • Type

    conf

  • DOI
    10.1109/IROS.2010.5650146
  • Filename
    5650146