Towards industrial autonomy: a four-dimensional Level of Autonomy (LoA) Framework

Josepha Berger*, Timo Malm

*Corresponding author for this work

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

Abstract

Industrial systems are transitioning towards greener, digital, and autonomous solutions, resulting in significant changes to their design and operation. This path to full autonomy faces several challenges, especially in integrating modern and legacy equipment at industrial sites, causing incompatible communication standards and diverse software systems. Each site presents unique requirements, necessitating close cooperation between technology providers and site operators.
Site operators need a thorough understanding of the opportunities, limitations, and safety risks associated with increased autonomy. Additionally, the physical design of sites must be suitable for the integration of autonomous machines, alongside potential combinations of autonomous, semi-autonomous, and manual equipment. Communication challenges can arise when certain machines rely on manual operation, complicating overall system's functionality. Beyond technical hurdles, increased autonomy requires adjustments in business-wide operations, including safety management, logistics, product and document management, fleet management, and the refinement of operator skillsets.
To address these complexities, we propose a four-dimensional Level of Autonomy (LoA) framework that helps in identifying and prioritizing key areas for enhancing autonomy. Unlike existing models that focus solely on system-wide or individual machine autonomy, our LoA framework integrates dimensions for machine driving, machine manipulation, system operation, and system mission. The operational dimension considers the orchestration of autonomous driving and manipulation of both individual machines and entire fleets, while the mission dimension emphasizes the management of multiple connected mixed fleets working towards a unified system goal.
Dimensions of autonomy are crucial because they highlight areas where human involvement is necessary and provide insights into strategies needed to enhance autonomy or assess the current level of system autonomy. A comprehensive LoA framework benefits stakeholders, including original equipment manufacturers (OEMs), suppliers, and system integrators, by providing a unified approach for implementing autonomous systems.
Original languageEnglish
Title of host publicationProceedings of the 35th European Safety and Reliability Conference (ESREL2025) and the 33rd Society for Risk Analysis Europe Conference (SRA-E 2025)
PublisherResearch Publishing Services
Pages3518-3524
Number of pages7
ISBN (Electronic)978-981-94-3281-3
DOIs
Publication statusPublished - Jun 2025
MoE publication typeA4 Article in a conference publication
EventEuropean Safety and Reliability (ESREL) and Society for Risk Analysis Europe (SRA-E ) ESREL SRA-E 2025 - Stavanger, Norway
Duration: 15 Jun 202519 Jun 2025

Conference

ConferenceEuropean Safety and Reliability (ESREL) and Society for Risk Analysis Europe (SRA-E ) ESREL SRA-E 2025
Country/TerritoryNorway
CityStavanger
Period15/06/2519/06/25

Funding

This paper is related to the work done in VTT in the Business Finland funded “FEMMa” research project and the Business Finland funded “MixedFleet” research project in its task 3.3 “Specification of mixed fleet safety concepts”.

Keywords

  • Level of Autonomy
  • Automation
  • Framework
  • Manual operation
  • Autonomous operation
  • Mixed fleet
  • industrial automation

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