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    Physics-Guided Machine Learning Approach to Safe Quasi-Static Impact Situations in Human–Robot Collaboration 

    Source: Journal of Computational and Nonlinear Dynamics:;2024:;volume( 019 ):;issue: 007:;page 71011-1
    Author(s): Kovinčić, Nemanja; Gattringer, Hubert; Müller, Andreas; Brandstötter, Mathias
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Following the performance and force limitation method of the ISO/TS 15066 standard, safety of a human–robot collaboration task is assessed for critical situations assuming quasi-static impact. To this end, impact forces ...
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