• DocumentCode
    3658913
  • Title

    Real-time human-robot interaction in complex environment using kinect v2 image recognition

  • Author

    YuanRui Yang;Haibin Yan;Masood Dehghan;Marcelo H. Ang

  • Author_Institution
    Advanced Robotics Center and SIMTech-NUS Joint Laboratory (Industrial Robotics), National University of Singapore, Singapore 117580
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    112
  • Lastpage
    117
  • Abstract
    This paper presents real-time interaction between 7-DOF KUKA robotic arm and any untrained human operator using Kinect V2. Kinect sensor is utilized to detect human body joints and mono color object to be grasped, using HSL-XYZ algorithm. By moving hand holding simple object such as a ball, operator can make KUKA robot follow the expected trajectory and fulfill pass-and-place tasks. One hand of operator is followed by KUKA, while the pose of the other arm commands the gripper to move, grasp, release and place. Experiments proved our advantages that Human-Robot Interaction is more robust, easier and more intuitive for human, with lower requirements for sensor; and is a novel solution for industries and life. Client - server application using UDP protocol is performed to transmit and receive real-time control and feedback data.
  • Keywords
    "Robot sensing systems","Robot kinematics","Grippers","Service robots","Color","Real-time systems"
  • Publisher
    ieee
  • Conference_Titel
    Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM), 2015 IEEE 7th International Conference on
  • Print_ISBN
    978-1-4673-7337-1
  • Electronic_ISBN
    2326-8239
  • Type

    conf

  • DOI
    10.1109/ICCIS.2015.7274606
  • Filename
    7274606