• DocumentCode
    2682951
  • Title

    Human-robot team navigation in visually complex environments

  • Author

    Carff, John ; Johnson, Matthew ; El-Sheikh, Eman M. ; Pratt, Jerry E.

  • Author_Institution
    Florida Inst. for Human & Machine Cognition, Pensacola, FL, USA
  • fYear
    2009
  • fDate
    10-15 Oct. 2009
  • Firstpage
    3043
  • Lastpage
    3050
  • Abstract
    Current fully autonomous robots are unable to navigate effectively in visually complex environments due to limitations in sensing and cognition. Full teleoperation using current interfaces is difficult and the operator often makes navigation mistakes due to lack of operating environment information and a limited field of view. We present a novel method for combining the sensing and cognition of a robot with that of a human. Our collaborative approach is different from most in that we address bi-directional considerations. It provides the human a mechanism to supplement the robot´s capabilities in a new and unique way and provides novel forms of feedback from the robot to enhance the human´s understanding of the current state of the system and its intentions.
  • Keywords
    cognition; feedback; human-robot interaction; mobile robots; telecontrol; bidirectional considerations; cognition limitations; fully autonomous robots; human robot team navigation; operating environment information; robot feedback; sensing limitations; teleoperation; visually complex environments; Cognition; Cognitive robotics; Computer science; Glass; Humans; Intelligent robots; Layout; Navigation; Robot sensing systems; USA Councils; Cognition; Complex Environments; Mobile Robots; Navigation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
  • Conference_Location
    St. Louis, MO
  • Print_ISBN
    978-1-4244-3803-7
  • Electronic_ISBN
    978-1-4244-3804-4
  • Type

    conf

  • DOI
    10.1109/IROS.2009.5354321
  • Filename
    5354321