Projects overview
ZDZW | Non-Destructive Inspection Services for Digitally Enhanced Zero Waste Manufacturing
01-09-2022
-31-08-2025
ROSSINI | RObot enhanced SenSing, INtelligence and actuation to Improve job quality in manufacturing
01-10-2018
-31-03-2022
The RS4 System (RS4 Controller and sensors) is designed to improve safety also for standard robots
The ROSSINI Modular KIT is a set of components that can be integrated to implement robotic workcells, capable of increasing job quality and reducing reconfiguration time.
Z-BRE4K | Strategies and Predictive Maintenance models wrapped around physical systems for Zero-unexpected-Breakdowns and increased operating life of Factories
01-10-2017
-31-03-2021
Α Web API will return semantic data. The communication interface is through the SPARQL query engine. Z-BRE4K ontology is implemented with the Open Semantic Framework (OSF), an integrated software stack using semantic technologies for knowledge management. Furthermore, JSON formatted data from the shop floor is transferred through a MQTT broker, to be finally stored in I-LiKe machines internal data repository. IDS connectors are used to transform data into the NGSI format, move the data to the ORION context broker to be finally consumed by other applications. Also, the Quality Information Framework (QIF) standard guarantees interoperability since it defines an integrated set of information models that enable the effective exchange of metrology data throughout the entire manufacturing quality measurement process – from product design to inspection planning to execution to analysis and reporting. OpenCPPS (part of AUTOWARE) will provide support for selected mainstream communication protocols and will define the proper interfaces for other communication protocols to be plugged-in.
The Z-Bre4k solution is based on the blackboard architectural model. This model is mainly an artificial intelligence approach, where a common knowledge base, the "blackboard", is iteratively updated by a diverse group of specialist knowledge sources, starting with a problem specification and ending with a solution. Each knowledge source updates the blackboard with a partial solution when its internal constraints match the blackboard state. In this way, the specialists work together to solve the problem. The blackboard model was originally designed as a way to handle complex, ill-defined problems, where the solution is the sum of its parts. The blackboard component acts as a central repository system. The rest of the software applications (components) act independently at the common data structure stored on the blackboard, they respond on changes and create new reactions according to changes. Interaction between components is implemented via the blackboard.
PreCoM | Predictive Cognitive Maintenance Decision Support System
01-11-2017
-31-10-2020
I-MECH | Intelligent Motion Control Platform for Smart Mechatronic Systems
01-06-2017
-31-05-2019
OPTIMAL | Automated Maskless Laser Lithography Platform for First Time Right Mixed Scale Patterning
01-10-2022
-30-09-2026
LIAA | Lean Intelligent Assembly Automation
02-09-2013
-01-09-2017
COMPOSITION | Ecosystem for Collaborative Manufacturing Processes _ Intra- and Interfactory Integration and Automation
01-09-2016
-31-08-2019
X-ACT | Expert cooperative robots for highly skilled operations for the factory of the future
01-10-2012
-30-09-2015
CREMA | Cloud-based Rapid Elastic MAnufacturing
01-01-2015
-01-01-2018
vf-OS | Virtual Factory Open Operating System
01-10-2016
-30-09-2019
DISRUPT | Decentralised architectures for optimised operations via virtualised processes and manufacturing ecosystem collaboration
01-09-2016
-31-08-2019
FAR-EDGE | Factory Automation Edge Computing Operating System Reference Implementation
01-10-2016
-30-10-2019
MUSIC | MUlti-layers control&cognitive System to drive metal and plastic production line for Injected Components
01-09-2012
-31-08-2016
All stages of production line are connecteted to the Data-Driven Digital Twin platform
All different production lines and plants can be monitored wiht the same platform because it is felxible and scalable.
Data-Driven Digital Twin enables the collaboration between OEM and Suppliers
AUTOWARE | Wireless Autonomous, Reliable and Resilient ProductIon Operation ARchitecture for Cognitive Manufacturing
01-10-2016
-30-09-2019
Daedalus | Distributed control and simulAtion platform to support an Ecosystem of DigitAL aUtomation developerS
01-10-2016
-30-09-2019
BEinCPPS | Business Experiments in Cyber Physical Production Systems
11-01-2015
-31-10-2018
ZAero | Zero-defect manufacturing of composite parts in the aerospace industry
01-10-2016
-30-09-2019
MANUWORK | Balancing Human and Automation Levels for the Manufacturing Workplaces of the Future
01-10-2016
-31-03-2020
ICP4Life | An Integrated Collaborative Platform for Managing the Product-Service Engineering Lifecycle
01-01-2015
-01-01-2019
NIMBLE | Collaboration Network for Industry, Manufacturing, Business and Logistics in Europe
01-10-2016
-30-09-2019
MANTIS | Cyber Physical System based Proactive Collaborative Maintenance
01-05-2015
-31-07-2018
SAFIRE | Cloud-based Situational Analysis for Factories providing Real-time Reconfiguration Services
01-10-2016
-30-09-2019
TWIN-CONTROL | Twin-model based virtual manufacturing for machine tool-process simulation and control
10-01-2015
-30-09-2018
HORSE | Smart integrated Robotics system for SMEs controlled by Internet of Things based on dynamic manufacturing processes
11-01-2015
-30-04-2020
The ROSSINI Controller (Semantic Scena Map, Flexible and Execution layers) is designed to improved efficiency in the production line/robotic cell (adapting to the possible changing in the environment and including job quality factors)