Known as either "Industrial Revolution 4.0" or as "Industrial Renaissance", the need for new manufacturing approaches is widely accepted in the EU. SatisFactory aims to contribute to the transformation of traditional industrial environments using cutting-edge technologies in ways that are both productive and appealing to youth. The fundamental component of the proposed system will be the assessment and storage of the explicit and tacit knowledge created on the shop floor by aggregating a set of heterogeneous smart devices and sensors (Linksmart/FIT, Smart Sensors/ISMB) and extracting context-aware information based on their measurements (Semantics Engine/EPFL). The distribution of this knowledge will be based on 3 important system tools. Firstly, a training platform will allow the fast and intuitive education of employees (R3Donline/Regola). Secondly, a collaboration platform (CoSpaces/FIT) will stimulate and promote team interactions. Finally, ubiquitous user interfaces (BRIDGE/FIT) will support all employees seamlessly in real time and on the move. SatisFactory will also utilise the aggregated knowledge in order to leverage the control and re-adaptation of facilities (mainDSS/ABE) and streamline the workload (Human Behavior Analysis/CERTH). In order to enhance working experience and thus increase the workplace attractiveness, augmented reality and gamification (CollabReview/FIT) approaches will be utilized. Additionally modern wearable devices (ISMB; Glasses/GlassUp) will allow the interaction of workers with the system without disrupting their workflow. All 12 foreseen products of SatisFactory will be deployed and evaluated in two industrial sites representing automotive industry (COMAU) and battery construction (SUNLIGHT). Validation will assess the impact and reveal the capabilities of SatisFactory towards the promotion of novel and viable business models for increased innovation potential, flexibility and productivity,while enhancing workplace attractiveness

This project addresses the challenge of mfg industry to deliver high-quality products at the necessary production rates while minimizing waste and energy consumption, maximizing efficiency and ROI. openZDM project is an Innovation Action that will develop and demonstrate in 5 representative production lines an open platform designed to realize ZDM. The platform integrates advanced ICT solutions & innovative non-destructive testing, setting the foundations for an innovative solution applicable to a large variety of mfg industries. The 5 pilots represent the largest part of the EU's manufacturing sector, geographically (including plants in northern and southern areas of Europe), technologically (fully & semi automated, and manual processes) and from their value chain positioning (including Tier 1, Tier 2 suppliers, technology suppliers and OEMs). Furthermore, the choice of partners has been done considering strategic sectors for the green transition, in particular two energy intensive production processes (glass bottles, steel suspension arms), one process strategic for the electrification (production of batteries), one process consuming renewable materials (wood based panels) and one highly digitalized automotive assembly plant. The project aims to develop a digital platform that builds on the state-of-the-art RAMI 4.0 and Asset Administration Shell (AAS) to implement intra-factory quality management practices, applicable to these different production environments. In addition several non-destructive inspection (NDI) methods and data-driven quality assessment techniques are considered for online defect identification and quality assessment, distributed at various stages along the manufacturing line. Finally, the Digital Twin and the related services is a key enabling technology for online process adaptation & prediction/prevention of defects, to achieve waste reduction and improved efficiency, aiming to significantly improve the production sustainability of CPPSs.

Human robot collaboration (HRC) has evolved to address the need for flexible production, presenting however drawbacks such as: Inability to cover all applications, Low performance/quality of collaboration and Complexity. SHERLOCK aims to introduce the latest safe robotic technologies in production environments, enhancing them with smart mechatronics and AI based cognition, creating efficient HRC stations that are designed to be safe and guarantee the acceptance/wellbeing of operators. SHERLOCK’s objectives are driven by production requirements involving: 1. Soft Robotics Collaborative Production Station: Starting from a human safety basis: - AURA a high payload collaborative manipulator - Smart exoskeletons with adjustable operation - Safe mobile dual arm manipulators 2. Human - centred interaction, collaboration and awareness by developing - Interfaces inspiring trust/familiarity, allowing seamless HR interaction - Methods for assessing user impact of HRC systems - Design principles/standards to maintain operator psychological safety/wellbeing in HRC - Production setups for people with special restrictions exploiting the robot’s cognition 3. AI enabled cognition for autonomous HRC applications: enabling robots to understand their environment, reason over it and adapt by: -Multi-level perception for process and environment assessment - Safe workspace monitoring systems - Autonomous planning and coordination of human robot tasks - Interactive learning, adapting to operator and simplifying teaching of new tasks 4. Modules for design and certification of Safe HRC applications: - Automated Risk Assessment tools within design/simulation packages - VR/AR tools for validating collaborative operations - reducing certification time - Software tools for Formal on-line safety assessment - AR/VR training methods specialized for HRC SHERLOCK will demonstrate its result in 4 sectors: elevators, industrial modules, aeronautics structures and machine tools production.

RobMoSys will coordinate the whole community’s best and consorted effort to build an open and sustainable, agile and multi-domain European robotics software ecosystem. RobMoSys envisions an integration approach built on-top-of, or rather around, the current code-centric robotic platforms, by means of the systematic application of model-driven methods and tools that explicitly focus on (system-of-) system integration. As proven in many other engineering domains, model-driven approaches are the most suitable approach to manage integration that is intended to be “all-inclusive” with respect to technologies and stakeholder groups. RobMoSys will enable the management of the interfaces between different roles (robotics expert, domain expert, component supplier, system integrator, installation and deployment, operation) and separated concerns in an efficient and systematic way by making the step change to a set of fully model-driven methods and tools for engineering robotics systems. RobMoSys will drive the non-competitive part of building the eco-system aiming at turning community involvement into active support for an ecosystem of professional quality and scope. It will provide, based on broad involvement via two Open Calls, important concretizations for many of the common robot functionalities (sensing, planning, control in the broad sense). It will fulfill two complementary missions: (1) establish a common methodology enabling a composition-oriented approach to address complexity in robotics and face the integration burden caused by type diversity, target diversity and platform diversity; (2) stimulate and boost an ecosystem of methodology-based toolchains that supports the interaction of separated roles. RobMoSys is designed for widest inclusion - from the very beginning and throughout the overall course of the project - of the expertise and body of knowledge of the robotics community and of related relevant technology and application domains (Tier-1 concept).