Industrial collaborative robots have safety features that, if tuned correctly, make possible their physical interaction with humans. However, in addition to mechanical safety, reducing any kind of psychological discomfort or stress that the robot may induce is also crucial for Human-Robot-Interaction (HRI). On this regard, the term psychological safety has been coined to identify the absence of such unpleasant effects during the HRI experience. Several approaches propose to ensure safety by planning a motion subject to safety constraints. Among these, minimum jerk trajectories have drawn the interest of the robotics community for their advantages from the mechanical point of view and their similarity to human motions. In this work, we revise and comment the most common approaches that have been applied to compute this kind of trajectories through a common framework and discuss them with respect to the authors’ recently introduced method based on the variational formalism.


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    Title :

    On the Methodologies to Compute Minimum Jerk Trajectories and Their Application in Collaborative Robotics


    Additional title:

    Mechan. Machine Science


    Contributors:

    Conference:

    International Conference on Robotics in Alpe-Adria Danube Region ; 2022 ; Klagenfurt, Austria June 08, 2022 - June 10, 2022



    Publication date :

    2022-04-23


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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