A Targeted Approach
MAS4AI aims at developing and testing a distributed and interoperable AI architecture based on multi-agents technology in such a way that it contributes to hyper-agility of European factories though modular and flexible production while at the same time keeps the humans in control of the AI technology and creating impact by spreading the technology over large groups of European manufacturing companies.
Multi-Agent-System – for distributing AI components in different hierarchy layers
AI agents – using Knowledge-based Representation with Semantic Web Technologies
AI Agents – for hierarchical planning of production processes
- ML agents – using model-based machine learning techniques
The solutions will be tested and validated upon a modular testbed pilot line and five industrially relevant large scale pilot cases.
Current state of play
Currently in the MAS4AI project, effort is given in the following point:
- AI agents
- Knowledge based systems
- Digital Twin
MAS4AI promo video
A multidisciplinary approach that involves activities which range from design, development of solutions when needed all the way to the pilot implementation and demonstration of the innovation action results.
MAS4AI tackles the challenge of agile autonomous production in order to leverage industrial AI core technologies for an efficient deployment into intelligent flexible modular production systems.
AI technologies for autonomous production while mitigating human risk with semantic features and awareness on operator’s capabilities.
If you are interested on knowing more about MAS4AI, our team is ready to answer your questions. Don’t hesitate to contact us via an email.
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Your gateway to the MAS4AI public material and research activities.
MAS4AI involves 17 partners from 7 countries:
Germany, Spain, Italy, Greece, Lithuania, Poland and The Netherlands
The consortium members have been strategically selected so as complement
each other and cover the whole value chain; from development, piloting, first market replication, to commercial exploitation after the end of the project.