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CASSAMOBILE | Flexible Mini-Factory for local and customized production in a container

01-09-2013

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31-08-2016

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Comments Research priorities Sub-Domain 2.1 Adaptive and smart manufacturing devices, components and machines Domain 2: Adaptive and smart manufacturing systems Sub-Domain 2.2 Dynamic Production systems and Factories
 Domain 2: Adaptive and smart manufacturing systems Taxon title Domain 2: Adaptive and smart manufacturing systems
 Intelligent machinery components, actuators and end-effectors Taxon description This includes the introduction of smart actuators and the use of advanced end-effectors composed of passive and active materials.

AI REGIO | Regions and DIHs alliance for AI-driven digital transformation of European Manufacturing SMEs

01-10-2020

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30-09-2023

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Description The AI revolution and the new relationship between autonomous systems and humans (Industry 5.0) has not been properly addressed in I4MS so far. AI I5.0 vs. I4.0 Gap.
 A Smart Predictive Maintenance Toolbox for drawing lines of car body elements - SPMTcar Result title A Smart Predictive Maintenance Toolbox for drawing lines of car body elements - SPMTcar
 Predictive Analysis Result description Autonomous Mobile Robots (AMR) have experienced an increasing commercial push in recent years.

Co-FACTOR | Cooperate, Communicate and Connect to boost smart Components for tomorrows Industry

01-01-2015

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31-12-2016

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Description smart components technology?
Comments and smart manufacturing systems RP 2.5 Mechatronics and new machine architectures for adaptive and evolving Factories FoF Partnership SRIA Research priorities Sub-Domain 2.1 Adaptive and smart manufacturing
 Periodic Reporting for period 2 - Co-FACTOR (Cooperate, Communicate and Connect to boost smart Components for tomorrows Industry) Result title Periodic Reporting for period 2 - Co-FACTOR (Cooperate, Communicate and Connect to boost smart Components for tomorrows Industry)
 Green paper on recommended measures on socioeconomic and political level Result description Recommendations of measures from socioeconomic perspectives on implementation of smart technology
 RP 2.5 Mechatronics and new machine architectures for adaptive and evolving Factories Taxon title RP 2.5 Mechatronics and new machine architectures for adaptive and evolving Factories Taxon description In this regard, manufacturing systems should be conceived from scratch as combinations of smart and exchangeable mechatronic modules, thus taking the most out of a combination of electro-mechanical and

ROBOFOOT | Smart robotics for high added value footwear industry

01-09-2010

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28-02-2013

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Comments D2-Area 3: Robots for Smart Factories Impact Workshop Domain 2 - Adaptive and Smart Manufacturing Systems Domain 2: Adaptive and smart manufacturing systems FoF Partnership SRIA Research priorities Sub-Domain
 RP 5.11 Demonstrating smart factories that attract people Taxon title RP 5.11 Demonstrating smart factories that attract people Taxon description The aim of this research priority is to demonstrate the operation of a smart factory, in which all workers are recognized individually.

EnerMan | ENERgy-efficient manufacturing system MANagement

01-01-2021

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30-04-2024

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Description ENERMAN envisions the factory as a living organism that can manage its energy consumption in an autonomous way.
 Real-Time Transient State Estimation in Smart Grids Utilizing Industrial IoT Data Result title Real-Time Transient State Estimation in Smart Grids Utilizing Industrial IoT Data
 Model predictive control based on genetic algorithm and neural networks to optimize heating operation of a real low-energy building Result description engines listed on this page.Authors: Giuseppe Aruta; Fabrizio Ascione; Nicola Bianco; Rosa Francesca De Masi; Gerardo Maria Mauro; Giuseppe Peter VanoliJournal title: 2022 7th International Conference on Smart

AUTO-TWIN | Data-driven method based on a process mining approach for Automated Digital Twin generation, operations, and maintenance in circular value chains

01-12-2022

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30-11-2025

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Description AUTO-TWIN addresses the technological shortcoming and economic liability of the current system-engineering model by 1) introducing a breakthrough method for automated process-aware discovery towards autonomous
 Automatically Generated & Autonomous Digital Twins Result title Automatically Generated & Autonomous Digital Twins

OPTIMAI | Optimizing Manufacturing Processes through Artificial Intelligence and Virtualization

01-01-2021

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30-06-2024

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Description The starting point for OPTIMAI is the smart instrumentation of production with AI-enabled sensors for quality inspection and monitoring, integrated on a secure middleware layer.
 An Autonomous Illumination System for Vehicle Documentation Based on Deep Reinforcement Learning Result title An Autonomous Illumination System for Vehicle Documentation Based on Deep Reinforcement Learning
 Periodic Reporting for period 1 - OPTIMAI (Optimizing Manufacturing Processes through Artificial Intelligence and Virtualization) Result description Nonetheless, global competition as well as environmental concerns, call for major improvements in European factories that on one hand need to increase their productivity and on...

DAT4.ZERO | Data Reliability and Digitally-enhanced Quality Management for Zero Defect Manufacturing in Smart Factories and Ecosystems

01-10-2020

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31-03-2024

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Description Smart factories are characterised by smart processes, smart machines, smart tools and smart products as well as smart logistics operations.
 Periodic Reporting for period 1 - DAT4.ZERO (Data Reliability and Digitally-enhanced Quality Management for Zero Defect Manufacturing in Smart Factories and Ecosystems) Result title Periodic Reporting for period 1 - DAT4.ZERO (Data Reliability and Digitally-enhanced Quality Management for Zero Defect Manufacturing in Smart Factories and Ecosystems) Result description Smart factories are characterised by smart processes and smart manufacturing systems that involve interlinked smart machines, smart tools and smart products as well as smart logistics operations.

STAR | Safe and Trusted Human Centric Artificial Intelligence in Future Manufacturing Lines

01-01-2021

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31-12-2023

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 Towards Active Learning Based Smart Assistant for Manufacturing Result title Towards Active Learning Based Smart Assistant for Manufacturing
 Explainable Artificial Intelligence to Enhance Data Trustworthiness in Crowd-Sensing Systems Result description Jensen; Athanasios Voulodimos; Thanassis GiannetsosJournal title: 2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)Journal number: 3Journal

TEAMING.AI | Human-AI Teaming Platform for Maintaining and Evolving AI Systems in Manufacturing

01-01-2021

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30-06-2024

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Description Smart Manufacturing is believed to play a critical role in maintaining the competitiveness of organisations, by supporting them at different levels such as process optimisation, resource efficiency, predictive
 Quality Characteristics of a Software Platform for Human-AI Teaming in Smart Result title Quality Characteristics of a Software Platform for Human-AI Teaming in Smart
 Periodic Reporting for period 1 - TEAMING.AI (Human-AI Teaming Platform for Maintaining and Evolving AI Systems in Manufacturing) Result description Smart Manufacturing plays a critical role in maintaining the competitiveness of companies and organizations, by supporting them at different levels such as process optimization, resource efficiency, predictive

InterQ | Interlinked Process, Product and Data Quality framework for Zero-Defects Manufacturing

01-11-2020

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31-10-2023

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Description InterQ project proposes a new generation of digital solutions based on intelligent systems, hybrid digital twins and AI-driven optimization tools to assure the quality in smart factories in a holistic
Comments factories & supply chains R&I Objective 1.3: Scalable, reconfigurable and flexible first-time right manufacturing MIE Consultation 2020 (Closed) Specific Objective 1: Excellent, responsive and smart
 Periodic Reporting for period 1 - InterQ (Interlinked Process, Product and Data Quality framework for Zero-Defects Manufacturing) Result description In current factories, large amount of data is generated from the existing machine sensors.
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