• DocumentCode
    515061
  • Title

    Key Technology of Semi-autonomous Control Based on Plan Recognition for Intelligent Wheelchair

  • Author

    Su, Yanyu ; Du, Zhijiang ; Yao, Yufeng

  • Author_Institution
    Robot. Inst. of HIT, Harbin Inst. of Technol., Harbin, China
  • Volume
    2
  • fYear
    2010
  • fDate
    13-14 March 2010
  • Firstpage
    545
  • Lastpage
    549
  • Abstract
    Semi-autonomous control is now the focus of intelligent wheelchair researches, and User-adapted Plan Recognition has presented its advantages in this field. Based on user plan recognition, we are developing a controller which is not only capable for estimating users´ low-level intent (e.g. get to a point), but also high-level intent (e.g. open a door), for a manipulator-mounted intelligent wheelchair. Representation of user plan and user plan recognition is discussed in this paper, including several key points: (1) a detailed classification and corresponding representation of user intent (2) a method to connect different types of user intent, (3) A method to change user operation data from continuous form (not suitable for reasoning) to sequence form (suitable for reasoning), (4) a plan recognition method for manipulator-mounted intelligent wheelchair.
  • Keywords
    handicapped aids; manipulators; medical robotics; mobile robots; parameter estimation; manipulator-mounted intelligent wheelchair; plan recognition; semiautonomous control; Automatic control; Communication system control; Humans; Intelligent control; Intelligent robots; Intelligent sensors; Mechatronics; Mobile robots; Robotics and automation; Wheelchairs; Intelligent Wheelchair; Intent estimation; Plan recognition; Semi-autonomous control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
  • Conference_Location
    Changsha City
  • Print_ISBN
    978-1-4244-5001-5
  • Electronic_ISBN
    978-1-4244-5739-7
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2010.636
  • Filename
    5460242