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Safety of Human-Robot Collaboration within the Internet of Production

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HCI in Business, Government and Organizations (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14039))

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Abstract

Recent trends in globalization have led to an increased competitive pressure, particularly affecting the manufacturing industry. The Cluster of Excellence “Internet of Production” (IoP) aims at developing innovative solutions and reshaping production to enable local industries to thrive in a digitized world. These developments create new possibilities for Human-Robot Interaction (HRI) and Human-Robot Collaboration (HRC) in particular. An extended framework for the classification, analysis, and planning of HRI use cases within the cluster IoP was developed, whereby examples from preforming and assembly were introduced and classified. Due to their collaborative nature, these cases require high safety standards that protect the human from the cobot. This paper describes how the cluster IoP handles safety of human workers in HRC processes, which allows a shift towards an increased collaboration between humans and robots. In this context, this paper proposes different methods to increase safety in HRC applications. This includes the use and verification of Behavior Trees for process planning and execution, the application of Computer Vision, the design of safe robot tools, and the evaluation of human acceptance and trust.

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Acknowledgements

Funded by the Deutsche Forschungs gemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy – EXC-2023 Internet of Production – 390621612.

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Authors and Affiliations

  1. Laboratory of Machine Tools and Production Engineering, RWTH Aachen University, Campus-Boulevard 30, 52074, Aachen, Germany

    Minh Trinh & Christian Brecher

  2. Institut Für Textiltechnik, RWTH Aachen University, Otto-Blumenthal-Straße 1, 52074, Aachen, Germany

    Hannah Dammers & Thomas Gries

  3. Knowledge-Based Systems Group, RWTH Aachen University, Ahornstraße 55, 52074, Aachen, Germany

    Mohamed Behery & Gerhard Lakemeyer

  4. Institute of Industrial Engineering and Ergonomics, RWTH Aachen University, Eilfschornsteinstraße 18, 52062, Aachen, Germany

    Ralph Baier & Verena Nitsch

  5. Informatik 11 – Embedded Software, RWTH Aachen University, Ahornstraße 55, 52074, Aachen, Germany

    Thomas Henn & Stefan Kowalewski

  6. Institute of Mechanism Theory, Machine Dynamics and Robotics, RWTH Aachen University, Eilfschornsteinstraße 18, 52062, Aachen, Germany

    Daniel Gossen & Burkhard Corves

Authors
  1. Minh Trinh
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  2. Hannah Dammers
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  3. Mohamed Behery
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  4. Ralph Baier
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  11. Thomas Gries
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  12. Christian Brecher
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Corresponding author

Correspondence to Minh Trinh .

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Editors and Affiliations

  1. City University of Hong Kong, Kowloon, Hong Kong

    Fiona Nah

  2. City University of Hong Kong, Kowloon, Hong Kong

    Keng Siau

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Trinh, M. et al. (2023). Safety of Human-Robot Collaboration within the Internet of Production. In: Nah, F., Siau, K. (eds) HCI in Business, Government and Organizations. HCII 2023. Lecture Notes in Computer Science, vol 14039. Springer, Cham. https://doi.org/10.1007/978-3-031-36049-7_7

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  • DOI: https://doi.org/10.1007/978-3-031-36049-7_7

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-36049-7

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