Factors Affecting the Organizational Readiness to Design Autonomous Machine Systems: Towards an Evaluation Framework

Valtteri Vuorimaa, Eetu Heikkilä (Corresponding author), Hannu Karvonen, Kari Koskinen, Jouko Laitinen

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

1 Citation (Scopus)


Increasing autonomy of machine systems is a major trend in industry. It is foreseen to improve efficiency and safety of operations, but also to introduce new kinds of socio-technical challenges and risks. To address these challenges, development organizations need a set of capabilities, processes and tools to achieve the needed readiness for designing autonomous machine systems (AMS). In this study, the key challenges, design approaches and proposed solutions were studied by performing a series of semi-structured interviews with companies working in the domain of mobile machines that are in different phases of development and deployment of AMS. Based on literature and interview findings, a set of factors affecting the organizational readiness to design AMS were identified. These factors can be used within organizations to perform assessments of their capability in design-related aspects of AMS, and further to develop an evaluation framework or tool for more comprehensive organizational assessments.
Original languageEnglish
Title of host publicationIntelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference IntelliSys Volume 3
Subtitle of host publicationIntelliSys 2020
EditorsKohei Arai, Supriya Kapoor, Rahul Bhatia
ISBN (Electronic)978-3-030-55190-2
ISBN (Print)978-3-030-55189-6
Publication statusPublished - 2021
MoE publication typeA4 Article in a conference publication
EventIntelligent Systems Conference 2020, IntelliSys 2020: Online - Virtual
Duration: 3 Sept 20204 Sept 2020

Publication series

SeriesAdvances in Intelligent Systems and Computing


ConferenceIntelligent Systems Conference 2020, IntelliSys 2020
Internet address


  • autonomous systems
  • engineering and design
  • readiness


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