Safety Considerations in the Design and Validation of Autonomous Machine Systems

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    Abstract

    The advances in robotics, artificial intelligence, and communication technology are making industrial applications increasingly autonomous. For manufacturing companies this means transformation towards digitized enterprise that requires the development of core elements, such as building the data ecosystem, choosing the right techniques and tools, integrating technology into workplace processes, and adopting an open, collaborative culture. The rapid introduction of new technologies, combined with increasing human-machine interaction, brings along new and modified safety risks. For most industrial machine systems, the lack of existing standards and best practices further complicates the design and validation of these applications. In this paper, we identify the focal challenges in the design process of safe autonomous machine systems from a systems engineering perspective. As a result, the methodology and tools to be used in various phases of the design process are discussed. The needs for extensions to the systems engineering approach are also considered.
    Original languageEnglish
    Title of host publicationProceedings of the 2nd Annual SMACC Research Seminar 2017
    EditorsJussi Aaltonen, Riikka Virkkunen , Kari T. Koskinen, Risto Kuivanen
    PublisherTampere University of Technology
    Pages49-52
    ISBN (Electronic)978-952-15-4040-0
    Publication statusPublished - 2017
    MoE publication typeA4 Article in a conference publication
    EventAnnual SMACC Research Seminar 2017 - Tampere, Finland
    Duration: 7 Nov 20177 Nov 2017
    Conference number: 2
    http://smacc.fi

    Seminar

    SeminarAnnual SMACC Research Seminar 2017
    CountryFinland
    CityTampere
    Period7/11/177/11/17
    Internet address

    Fingerprint

    Systems engineering
    Ecosystems
    Industrial applications
    Artificial intelligence
    Industry
    Robotics
    Communication

    Keywords

    • autonomous systems
    • autonomous machines
    • safety
    • validation

    Cite this

    Heikkilä, E., Tiusanen, R., & Helaakoski, H. (2017). Safety Considerations in the Design and Validation of Autonomous Machine Systems. In J. Aaltonen, R. V., K. T. Koskinen, & R. Kuivanen (Eds.), Proceedings of the 2nd Annual SMACC Research Seminar 2017 (pp. 49-52). Tampere University of Technology.
    Heikkilä, Eetu ; Tiusanen, Risto ; Helaakoski, Heli. / Safety Considerations in the Design and Validation of Autonomous Machine Systems. Proceedings of the 2nd Annual SMACC Research Seminar 2017. editor / Jussi Aaltonen ; Riikka Virkkunen ; Kari T. Koskinen ; Risto Kuivanen. Tampere University of Technology, 2017. pp. 49-52
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    title = "Safety Considerations in the Design and Validation of Autonomous Machine Systems",
    abstract = "The advances in robotics, artificial intelligence, and communication technology are making industrial applications increasingly autonomous. For manufacturing companies this means transformation towards digitized enterprise that requires the development of core elements, such as building the data ecosystem, choosing the right techniques and tools, integrating technology into workplace processes, and adopting an open, collaborative culture. The rapid introduction of new technologies, combined with increasing human-machine interaction, brings along new and modified safety risks. For most industrial machine systems, the lack of existing standards and best practices further complicates the design and validation of these applications. In this paper, we identify the focal challenges in the design process of safe autonomous machine systems from a systems engineering perspective. As a result, the methodology and tools to be used in various phases of the design process are discussed. The needs for extensions to the systems engineering approach are also considered.",
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    Heikkilä, E, Tiusanen, R & Helaakoski, H 2017, Safety Considerations in the Design and Validation of Autonomous Machine Systems. in J Aaltonen, RV, KT Koskinen & R Kuivanen (eds), Proceedings of the 2nd Annual SMACC Research Seminar 2017. Tampere University of Technology, pp. 49-52, Annual SMACC Research Seminar 2017, Tampere, Finland, 7/11/17.

    Safety Considerations in the Design and Validation of Autonomous Machine Systems. / Heikkilä, Eetu; Tiusanen, Risto; Helaakoski, Heli.

    Proceedings of the 2nd Annual SMACC Research Seminar 2017. ed. / Jussi Aaltonen; Riikka Virkkunen; Kari T. Koskinen; Risto Kuivanen. Tampere University of Technology, 2017. p. 49-52.

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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    AB - The advances in robotics, artificial intelligence, and communication technology are making industrial applications increasingly autonomous. For manufacturing companies this means transformation towards digitized enterprise that requires the development of core elements, such as building the data ecosystem, choosing the right techniques and tools, integrating technology into workplace processes, and adopting an open, collaborative culture. The rapid introduction of new technologies, combined with increasing human-machine interaction, brings along new and modified safety risks. For most industrial machine systems, the lack of existing standards and best practices further complicates the design and validation of these applications. In this paper, we identify the focal challenges in the design process of safe autonomous machine systems from a systems engineering perspective. As a result, the methodology and tools to be used in various phases of the design process are discussed. The needs for extensions to the systems engineering approach are also considered.

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    Heikkilä E, Tiusanen R, Helaakoski H. Safety Considerations in the Design and Validation of Autonomous Machine Systems. In Aaltonen J, RV, Koskinen KT, Kuivanen R, editors, Proceedings of the 2nd Annual SMACC Research Seminar 2017. Tampere University of Technology. 2017. p. 49-52