This paper introduces a robot collision avoidance method using Kinect and global vision to improve the industrial robot’s security. Global vision is installed above the robot, and a combination of the background-difference method and the Otsu algorithm are used. Human skeleton detection is then introduced to detect the location information of the human body. The collided objects are classified into nonhuman and human obstacle which is further categorized into the human head and non-head areas such as the arm. The Kalman filter is used to predict the human gesture. The human joints danger index is used to evaluate the risk level of the human on the basis of human body joints and robot’s motion information. Finally, a motion control strategy is adopted in view of obstacle categories and the human joint danger index. Results show that the proposed method can effectively improve robot’s security in real time.


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    Title :

    A Robot Collision Avoidance Method Using Kinect and Global Vision


    Contributors:
    Wu, Haibin (author) / Huang, Jianfeng (author) / Yang, Xiaoning (author) / Ye, Jinhua (author) / He, Sumei (author)

    Publication date :

    2017-03-01


    Remarks:

    doi:10.12928/telkomnika.v15i1.3566
    TELKOMNIKA (Telecommunication Computing Electronics and Control); Vol 15, No 1: March 2017; 4-17 ; 2302-9293 ; 1693-6930 ; 10.12928/telkomnika.v15i1



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    629




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