Human-robot collaboration is one of the key elements in the Industry 4.0 revolution, aiming to a close and direct collaboration between robots and human workers to reach higher productivity and improved ergonomics. The first step toward such kind of collaboration in the industrial context is the removal of physical safety barriers usually surrounding standard robotic cells, so that human workers can approach and directly collaborate with robots. Anyway, human safety must be granted avoiding possible collisions with the robot. In this work, we propose the use of a people tracking algorithm to monitor people moving around a robot manipulator and recognize when a person is too close to the robot while performing a task. The system is implemented by a camera network system positioned around the robot workspace, and thoroughly evaluated in different industry-like settings in terms of both tracking accuracy and detection delay.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Low-cost Scalable People Tracking System for Human-Robot Collaboration in Industrial Environment



    Erscheinungsdatum :

    2020-01-01



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629



    Modeling Human-Robot Collaboration in a Simulated Environment

    Novikova, Jekaterina / Watts, Leon / Inamura, Tetsunari | BASE | 2015

    Freier Zugriff

    HUMAN-ROBOT COLLABORATION

    FELIP LEON JAVIER / AHUJA NILESH / CAMPOS MACIAS LEOBARDO et al. | Europäisches Patentamt | 2021

    Freier Zugriff



    Industrial Human-Robot Collaboration: Maximizing Performance While Maintaining Safety

    Weitschat, Roman | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2019

    Freier Zugriff