In this research, a strategy to incorporate an assist-as-needed scheme into human-robot collaboration during an object co-lifting and manipulation task is developed. Surface Electromyography (sEMG) signals from the upper-arm muscles are collected and analyzed to quantify fatigue while the subjects are collaborating with a Universal Robot (UR5). Rated perceived fatigue (RPF) is then utilized to quantify fatigue levels based on personal perception of the subject using the intervals of 25%, 50%, 75% and 100%. This perceived information is correlated with the change in interaction load at the object-robot interface to quantify the modifying factor needed to stay in the optimal human-robot collaboration (HRC) condition.


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    Title :

    Human Factors to Develop a Safety Guard Model in Human-Robot Interaction


    Additional title:

    Mechan. Machine Science



    Conference:

    USCToMM Symposium on Mechanical Systems and Robotics ; 2020 ; Rapid City, SD, USA May 14, 2020 - May 16, 2020



    Publication date :

    2020-04-21


    Size :

    16 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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