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Applying Robotics Centered Digital Twins in a Smart Factory for Facilitating Integration and Improved Process Monitoring

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Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems (CARV 2021, MCPC 2021)

Abstract

This work presents a Digital Twin (DT) architecture for smart production cells tested on a case of automated drone assembly. In this Industry 4.0 setting each step of the robotic assembly sequence is carefully monitored through feedback from each hardware component being relayed to the overall smart factory, where it is located through an IoT messaging protocol. Through this case study, we illustrate how robotics-centered DTs are programmed through simple visual programming blocks, and assisted by detailed simulation, can be a powerful tool for facilitating production in smart factories.

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Notes

  1. 1.

    The Robot Operating System (ROS) [Online] https://www.ros.org/.

  2. 2.

    Gazebo [Online] https://www.gazebosim.org/.

  3. 3.

    Cpp library for interfacing UR RTDE [Online] https://sdurobotics.gitlab.io/ur_rtde/.

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Acknowledgement

This work was supported by Innovation Fund Denmark through the project MADE FAST.

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Correspondence to Simon Mathiesen .

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Mathiesen, S., Sørensen, L.C., Sartori, A., Lindvig, A., Waspe, R., Schlette, C. (2022). Applying Robotics Centered Digital Twins in a Smart Factory for Facilitating Integration and Improved Process Monitoring. In: Andersen, AL., et al. Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems. CARV MCPC 2021 2021. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-90700-6_34

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  • DOI: https://doi.org/10.1007/978-3-030-90700-6_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90699-3

  • Online ISBN: 978-3-030-90700-6

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