CORDIS - EU research results

Multi-Agent Systems for Pervasive Artificial Intelligence for assisting Humans in Modular Production Environments


Report on the standardization landscape and applicable standards

A report containing the standards relevant for the project as starting material and the relevant standardization committees

Smart Factory testbed setup - Final results

This deliverable will describe the final results of the testbed setup of T61

Implementation of knowledge models

A document that describes all formalized knowledge models for all use cases representing relevant domain knowledge on processes products human worker etc

Use cases requirements and specifications

Report describing the use case requirements and specifications as well as the KPIs targets and baselines for all indicators

Standardisation proposals

Report that suggests parts of MAS4AI specifications that could become part of the formal standard

Intelligent Multi-agent System Architecture

The RAMI40 based reference architecture and specifications for the MAS4AI system

User manuals on accessing and using the MAS

Report containing user manuals that describe how the multiagentsystem and basic AI agents can be utilized

Report on the contribution to standardization

Report describing MAS4AI interaction with the relevant standardization committees and the contribution achieved to the development of standards based in the project results

Dissemination & communication activities - Third version

Final report on dissemination and communication activities including the impact assessment and KPIs attainment analysis

Modelling of the planning agent

This deliverable will provide the design consideration of the hierarchical planning agent

Lessons learnt and recommendations for instantiation of AI technologies in manufacturing

This report will describe the lessons learnt and provide recommendations for AI in manufacturing

Smart Factory testbed setup - Initial results

This deliverable will describe the initial results of the testbed setup of T61

User manuals on agent configuration and execution

Report containing user manuals that describe how agents can be configured with the Agent Service Description and how to execute Agents

Dissemination & communication activities - Initial version

The document presenting the plan of dissemination communication activities to be followed by the consortium Detailed planning for the first 18 month with dissemination and communication targets and KPIs for the entire project

Final Public Report

The public report summarising the major project results and highlights. Includes also an analytical assessment of the delivered impacts.

Ethics framework

report detailing the proposed ethics framework taking into account legal and privacy aspects of AI deployment in the pilots

Dissemination & communication activities - Second version

Updated plan of dissemination communication activities to be followed by the consortium Includes the report on the dissemination and communication activities carried out by the consortium to date

System requirements

Report describing the MAS4AI system requirements for the industrial cases

Development of the planning agent

The final prototype of the planning agent and a short accompanying report detailing the development activities

Agent knowledge access framework

The prototype of a generic agent access system that provides access to the knowledge of the agent including semantic logic This prototype will be accompanied by a short report

Data Management Plan

The document describing the principles and procedures of handling projects research data by the consortium

Public web portal

Public site of the project accessible by all audiences for promoting the dissemination and communication activities


Enabling a Multi-Agent System for Resilient Production Flow in Modular Production Systems

Author(s): Simon Komesker, William Motsch, Jens Popper, Aleksandr Sidorenko, Achim Wagner, Martin Ruskowski
Published in: 2022
Publisher: Elsevier
DOI: 10.1016/j.procir.2022.05.097

A toolbox of agents for scheduling the paint shop in bicycle industry

Author(s): Siatras Vasilis, Nikolakis Nikos, Alexopoulos Kosmas, Mourtzis Dimitris
Published in: 2022
Publisher: Elsevier
DOI: 10.1016/j.procir.2022.05.124

Simultaneous Production and AGV Scheduling using Multi-Agent Deep Reinforcement Learning

Author(s): Jens Popper, Vassilios Yfantis, Martin Ruskowski
Published in: 2021
Publisher: Elsevier
DOI: 10.1016/j.procir.2021.11.257

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