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Comparison of AI-based Task Planning Approaches for Simulating Human-Robot Collaboration

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

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

Today, increased demands for personalized products are making human-robot collaborative tasks a focus of research mainly for improving production cycle time, precision, and accuracy. It is also required to simplify how human-robot tasks and motions are generated. A graphical flow control-based programming can be one of such methods. This work investigates whether the graphical approaches (e.g., using RAFCON) yield a better real-time simulation or not compared to agent approaches (e.g., using MOSIM-AJAN). This work may support the agility of the digital manufacturing process by enhancing the efficiency of human-robot collaboration.

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Notes

  1. 1.

    https://github.com/DLR-RM/RAFCON.

  2. 2.

    https://github.com/aantakli/AJAN-editor.

  3. 3.

    https://mosim.eu/.

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Acknowledgment

The authors would like to acknowledge the financial support by the Federal Ministry of Education and Research of Germany within the ITEA3 project MOSIM (grant number: 01IS18060AH), and by the European Regional Development Fund (EFRE) within the project SMAPS (grant number: 0200545).

Author information

Authors and Affiliations

  1. FAMS - Chair for Production Automation and Assembly, PROTECH - Institute of Production Technology, University of Siegen, 57076, Siegen, Germany

    Tadele Belay Tuli & Martin Manns

Authors
  1. Tadele Belay Tuli
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  2. Martin Manns
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Corresponding author

Correspondence to Tadele Belay Tuli .

Editor information

Editors and Affiliations

  1. Department of Materials and Production, Aalborg University, Aalborg East, Denmark

    Ann-Louise Andersen

  2. Department of Materials and Production, Aalborg University, Aalborg East, Denmark

    Rasmus Andersen

  3. Department of Materials and Production, Aalborg University, Aalborg East, Denmark

    Thomas Ditlev Brunoe

  4. Department of Materials and Production, Aalborg University, Aalborg East, Denmark

    Maria Stoettrup Schioenning Larsen

  5. Department of Materials and Production, Aalborg University, Aalborg East, Denmark

    Kjeld Nielsen

  6. Department of Materials and Production, Aalborg University, Aalborg East, Denmark

    Alessia Napoleone

  7. Department of Materials and Production, Aalborg University, Aalborg East, Denmark

    Stefan Kjeldgaard

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Tuli, T.B., Manns, M. (2022). Comparison of AI-based Task Planning Approaches for Simulating Human-Robot Collaboration. 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_17

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  • DOI: https://doi.org/10.1007/978-3-030-90700-6_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90699-3

  • Online ISBN: 978-3-030-90700-6

  • eBook Packages: EngineeringEngineering (R0)

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