• DocumentCode
    728126
  • Title

    Shared control of human and robot by approximate dynamic programming

  • Author

    Yanan Li ; Keng Peng Tee ; Rui Yan ; Limbu, Dilip Kumar ; Shuzhi Sam Ge

  • Author_Institution
    Inst. for Infocomm Res. (I2R), Agency for Sci., Technol. & Res. (A*STAR), Singapore, Singapore
  • fYear
    2015
  • fDate
    1-3 July 2015
  • Firstpage
    1167
  • Lastpage
    1172
  • Abstract
    In this paper, a framework of human-robot shared control is developed based on finding the solution to an optimization problem. Human dynamics are taken into account in the analysis of the coupled human-robot system, and objectives of both human and robot are considered. Approximate dynamic programming is employed to solve the optimization problem in the presence of unknown human and robot dynamics. The validity of the proposed method is verified through simulation studies.
  • Keywords
    approximation theory; dynamic programming; human-robot interaction; robot dynamics; approximate dynamic programming; coupled human-robot system; human dynamics; human-robot shared control; optimization problem; robot dynamics; Cost function; Dynamic programming; Force; Robot kinematics; Robot sensing systems; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2015
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4799-8685-9
  • Type

    conf

  • DOI
    10.1109/ACC.2015.7170891
  • Filename
    7170891