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Description The concept integrates novel actuators, end effectors with multiple connection points and advanced sensing capabilities as well as mobile robotic units, fostering efficient multi-variant production.
Comments manufacturing capabilities & logistics of the future MIE Consultation 2020 (Closed) Specific Objective 1: Excellent, responsive and smart factories & supply chains R&I Objective 4.5: Technology validation
 AGV with autonomous Navigation system Result description This technology and exploitable result can have impact in the automation of intra-logistics of a production plant: Either as a direct application of the project results: providing mobility to an industrial
 Mobile robotic manipulator Result description This technology and exploitable result can have impact in the automation of intra-logistics of a production plant: Either as a direct application of the project results: providing mobility to an industrial
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Description The envisioned system for collaborative assembly will be capable of allocating human and robotic resources for executing the production plan sharing the tasks according to the capabilities of the available
Comments manufacturing capabilities & logistics of the future MIE Consultation 2020 (Closed) Specific Objective 1: Excellent, responsive and smart factories & supply chains AI will be developed in the project
 Nullspace Structure in Model Predictive Control Result title Nullspace Structure in Model Predictive Control
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Comments manufacturing capabilities & logistics of the future MIE Consultation 2020 (Closed) Specific Objective 1: Excellent, responsive and smart factories & supply chains R&I Objective 1.6: Data ‘highways’
 MC-SUITE application based on six different modules ready to reduce the gap between the simulated and the real process Result description MC-Analytics is a platform to treat the information of the cloud for predictive maintenance and productivity improvement.
 Measurement, sensing, condition and performance monitoring technologies Taxon description advanced metrology, calibration and sensing, signal processing and model-based virtual sensing for a wide range of applications, e.g. event pattern detection, diagnostics, anomaly detection, prognostics and predictive
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Description Factory2Fit project will support this development by developing adaptation solutions with which people with different skills, capabilities and preferences can be engaged, motivated and productive members
Comments manufacturing capabilities & logistics of the future MIE Consultation 2020 (Closed) Specific Objective 1: Excellent, responsive and smart factories & supply chains Contribution:Smart production planning
 Factory2Fit Dynamic Worker Model Result description The model includes the physical, sensorial and cognitive capabilities of the workers, their preferences as well as characteristics of their tasks.
 RP 5.3 Levels of automation and continuous adaptation of workplaces Taxon description Relevant research should aim at methods and tools for a continuous adaptation of workplaces to the physical, sensorial and cognitive capabilities of workers, especially for older and disabled people.
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Description The consolidated platform between CloudFlow and cloudSME with extended capabilities to process factory data is going to be accessed through a central interface, enabling the stakeholders to interact, and
Comments R&I Objective 1.4: Artificial intelligence for productive, excellent, robust and agile manufacturing chains - Predictive manufacturing capabilities & logistics of the future MIE Consultation 2020
 Periodic Reporting for period 3 - CloudiFacturing (Cloudification of Production Engineering for Predictive Digital Manufacturing) Result title Periodic Reporting for period 3 - CloudiFacturing (Cloudification of Production Engineering for Predictive Digital Manufacturing)
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Description real-time decision support (Z-MANAGE), the replacement, reconfiguration, re-use, retirement, and recycling of components/assets (Z-REMEDIATE), synchronizing remedy actions, production planning and logistics
Comments R&I Objective 1.4: Artificial intelligence for productive, excellent, robust and agile manufacturing chains - Predictive manufacturing capabilities & logistics of the future MIE Consultation 2020
 Relaxed Rule-Based Learning for Automated Predictive Maintenance: Proof of Concept Result title Relaxed Rule-Based Learning for Automated Predictive Maintenance: Proof of Concept
 Periodic Reporting for period 3 - Z-BRE4K (Strategies and Predictive Maintenance models wrapped around physical systems for Zero-unexpected-Breakdowns and increased operating life of Factories) Result description Z-BRE4K introduced a novel design for a predictive maintenance (PdM) capable of making accurate predictions for the future states of the components/machines/systems by the employment of intelligent simulators
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Description platform for managing the data and data processing remotely, advanced IoT system and smart devices for data collection and monitoring of machinery conditions, artificial intelligence methods for predictive
Comments manufacturing capabilities & logistics of the future MIE Consultation 2020 (Closed) Specific Objective 1: Excellent, responsive and smart factories & supply chains R&I Objective 1.6: Data ‘highways’
 A cloud-to-edge architecture for predictive analytics Result title A cloud-to-edge architecture for predictive analytics
 Metrology Equipment Use Case Result description The addition of predictive support as a service with the corresponding business model facilitate the reduction of maintenance costs, hardware problems, predictive scheduling of corrective activities, and
 RP 3.2 Intelligent maintenance systems for increased reliability of production systems Taxon description For this, predictive data analytics techniques should be developed to aggregate and process the massive amount of data captured by intelligent devices from the field on-the-fly.
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Comments manufacturing capabilities & logistics of the future MIE Consultation 2020 (Closed) Specific Objective 1: Excellent, responsive and smart factories & supply chains Specific Objective 4: Human-centered
 Model Predictive Control with Gaussian Processes for Flexible Multi-Modal Physical Human Robot Interaction Result title Model Predictive Control with Gaussian Processes for Flexible Multi-Modal Physical Human Robot Interaction
 SOFITEC – Co-Manipulation Of Large Parts By Dual-Arm Mobile Manipulator Result description This collaboration is allowed thanks to multiple capabilities added on the robot, such as a physical using dual-arm impedance control as well as indirect interaction via human guidance perceived through
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Description The global adoption of information and communications technology by manufacturing industry is now paving the way for disruptive approaches to production and the entire logistics chain.
Comments manufacturing capabilities & logistics of the future MIE Consultation 2020 (Closed) Specific Objective 1: Excellent, responsive and smart factories & supply chains R&I Objective 1.6: Data ‘highways’
 RP 4.5 Complex Event Processing (CEP) for state detection and analytics in supply networks Taxon description CEP for holistic value chain will not only increase business and process-level intelligence across all tiers of an enterprise resulting in faster reaction time to shop floor alerts or changing logistics
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Comments manufacturing capabilities & logistics of the future MIE Consultation 2020 (Closed) Specific Objective 1: Excellent, responsive and smart factories & supply chains R&I Objective 4.3: Human & technology
 TrustedFramework for Quality Hallmark sharing Result description • Advanced search capabilities on the QH repository. • Extensible user interface for data monitoring and navigation (dashboards).
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Comments   R&I Objective 2.6: Predictive Manufacturing capabilities & Logistics of the future MIE Consultation 2020 (Closed) Specific Objective 2: Circular products & Climate-neutral manufacturing
 Use Case Scenario INTRA-FACTORY-2: Predictive maintenance Result title Use Case Scenario INTRA-FACTORY-2: Predictive maintenance
 Fill-Level Sensors Result description Error checking for false measurements and overload notification capabilities Provision of data to Simulation and Prediction tools. Use of ultrasonic sensor modules.
 Forecasting of required capabilities Taxon title Forecasting of required capabilities Taxon description Forecasting of required capabilities (link with Autonomous Smart Factories)