Adaptive Automation in Assembly For BLUE collar workers satisfaction in Evolvable context


The Project

The main objective of this 3-year project is the development and evaluation of a new generation of sustainable and adaptive workplaces dealing with the evolving requirements of manufacturing processes and human variability.

A4BLUE will introduce adaptive automation mechanisms for an efficient and flexible execution of tasks, ensuring a constant and safe human-machine interaction as well as advanced and personalised worker assistance systems including virtual/augmented reality and knowledge management capabilities to support them in the assembly and training related activities. Furthermore, A4BLUE will provide methods and tools to determine the optimal degree of automation of the new assembly processes by combining and balancing social and economic criteria to maximize long term worker satisfaction and overall process performance.

Aims and goals

  • Adaptability by providing an open, secure, configurable, scalable and interoperable adaptation management and assistance system.
  • Interaction by providing a set of safe, easy to use, intuitive, personalized and context aware multimodal human-automation interaction mechanisms.
  • Sustainability by providing methods and tolos to determine the optimal degree of automation of the new assembly processes that combine and balance social and economic criteria to maximize long term worker satisfaction and overall performance.
More information
Web resources:
Start date: 01-10-2016
End date: 30-09-2019
Total budget - Public funding: 4 179 063,00 Euro - 4 179 063,00 Euro
Call topic: Continuous adaptation of work environments with changing levels of automation in evolving production systems (FoF.2016.04)

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Research & Innovation Action (RIA)

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Flexibility Increasing human achievements in manufacturing systems
Occupational safety and health Skills, training, new job profiles

      Working on an adaptive automation that meets changing production environment and human variability, automation that is introduced assessing sustainability (economic and social) aspects.


      Adaptive automation are introduced after the corresponding safety risk assessment which guarantees a safe productive environment. Such adaptiveness, new ways of human interaction (commanding through natural speaking and gestures) and assistance and guidance in the productive tasks via augmented reality make factory easier to interact with and more satisfactory to workers.

      Active safety features are included to avoid risks in the collaboration of workers and automation.

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Advanced and ubiquitous human machine interaction Intelligent machinery components, actuators and end-effectors IoT - Internet of Things Skills - Knowledge-workers Human Machine Interfaces
FIWARE Data acquisition Data storage Data processing Data modelling

    A4BLUE enables the transference of knowledge among workers and from the organization to the workers as well, including best practives, instructions, tips from workers, etc., which is integrated within the ICT infrastructure for production.

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Data communication infrastructure Interoperability (ICT) Platform level interoperability AAA - Access, Authorisation and Authentication User Acccess and Rights Management
Application level interoperability Integration level interoperability Integration with legacy systems Cybersecurity Safety

    Security and privacy risk assessment to identify countermeasures to be included in the A4BLUE framework.

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    A complete review of related standards have been carried out.

    Technical developments are using several standards:

    - For automation mechanisms implementation A4BLUE complies with (EN ISO 12100:2010, EN ISO 13849-1: 2015, IEC/EN 60240-1:2016, EN ISO 10218, ISO/TS 15066:2016) and follows as guidelines several other standards.

    - The A4BLUE framework follows as guidelines several standards (ISO/IEC 27001, ISO/IEC 27002, ISO/IEC 27005, ISO/IEC 27032, ISO/IEC 27035).

    - For integration with automation mechanisms (Plug & Produce Adaptive Automation) OPC UA standard (EN 62541) is used.

    - The Virtual Asset Representation is based on B2MML (Business to Manufacturing Markup Language) (ISA-95 standard - IEC/ISO 62264).

    Contribution to standardization is being analysed. Initiating a CWA on worker satisfaction measurement methodology.