• DocumentCode
    2913725
  • Title

    Interactions and motions in human-robot coordination

  • Author

    Luh, J.Y.S. ; Hu, Shuyi

  • Author_Institution
    Clemson Univ., SC, USA
  • Volume
    4
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    3171
  • Abstract
    In human-robot cooperative tasks, the robot is required to memorize different trajectories for different assignments, and retrieve a proper one from them in real-time for the robot to follow when an assignment is repeated. A three-point representation of the space curves is translation/rotation/scaling invariant. Schemes of matching positions by vectors, and orientations by matrices are efficient in that computing time is short enough for real-time implementations. Physical experiments are performed to illustrate and verify the analytical results
  • Keywords
    compliance control; learning (artificial intelligence); man-machine systems; matrix algebra; position control; cooperative tasks; human-robot coordination; rotation invariance; scaling invariance; space curves; three-point representation; translation invariance; Coordinate measuring machines; Force measurement; Human robot interaction; Motion control; Motion measurement; Orbital robotics; Performance analysis; Robot kinematics; Robot sensing systems; Wrist;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1999. Proceedings. 1999 IEEE International Conference on
  • Conference_Location
    Detroit, MI
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-5180-0
  • Type

    conf

  • DOI
    10.1109/ROBOT.1999.774081
  • Filename
    774081