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    Item type:Publication, Access status: with files ,
    A methods-time-measurement based approach to enable action recognition for multi-variant assembly in Human-Robot Collaboration
    (Elsevier, 2022-03-10)
    Koch, Julian
    ;
    Büsch, Lukas
    ;
    Gomse, Martin
    ;
    Schüppstuhl, Thorsten
    Action Recognition (AR) has become a popular approach to ensure efficient and safe Human-Robot Collaboration. Current research approaches are mostly optimized for specific assembly processes and settings. This paper introduces a novel approach to extend the field of AR to multi-variant assembly processes. The approach is based on generalized action primitives derived from Methods-Time-Measurement (MTM) analysis that are detected by an AR system using skeletal data. Subsequently a search algorithm combines the information from AR and MTM to provide an estimate of the assembly progress. One possible implementation is shown in a proof of concept and results as well as future work are discussed.
    Publicationtype: Conference Paper
    Scopus© Citations 14  203  408