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Deliverables: report describing the benefits or disadvantages of implementing the investigated scenario or report discussing the performance of the tested AI solution or demonstration of tested solution and report describing the benefits of the solution
Technology providers wanting to expand to new manfuacturing sectors / case studies, or testing the integration of AI algorithms with Digital Twins
AI end-users looking for ways to test the AI-enhanced capabilities of Digital Twins to support their production, or enhance the performance of Digital Twins that they may already have.
Deliverables: Data analysis reports, reports with consoidated results, physical demonstrations
Technology providers wanting to test and validate IoT solutions and data analytics tools in realistic industrial environments.
Industrial end-users that are interested in exploring strategies for performance monitoring, optimization and efficiency improvement.
Customer required infrastructure: use case scenario, operational constraints, equipment information, or existing models and algorithms
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A documented evaluation of the intelligent vibratory feeder solution, including performance results for part ordering and feeding, integration recommendations, and guidance for further optimization or industrial deployment.
Manufacturing, Robotics and automation, Assembly and handling, Machine builders, Industrial part feeding and packaging systems
Test of the information flow among the physical and digital and virtual world
Descrete Manufacturing Companies
Collected and processed sensing data relevant to the agreed industrial use case
Assessment of data quality and suitability for monitoring, optimisation or modelling
Identification of relevant patterns, operating conditions or potential anomalies in the measured data
Trained data-driven or machine-learning model where applicable to the agreed use case
Processed data and model outputs suitable for further optimisation, condition monitoring or virtual system development
Manufacturing companies, machine and equipment manufacturers, industrial technology providers and system integrators seeking to use sensing and production data for condition monitoring, process optimisation, predictive analysis or system modelling.
The service must enable the company to initiate further test or experimentation services
SMEs needing a clear vision of the stages leading up to the industrialization of an AI-based solution
Participants gain basic knowledge of robot functions, applications, and limitations, understanding of kinematics and motion, and a practical introduction to simple programming, operation, and running of robot systems. Participants receive a personal training certificate, course documentation compendium with cheat sheets for robot programming and safety, and an actionable checklist for assessing automation potential in their own company.
Manufacturing, Human-Robot Interaction, Robotics and automation, Education and competence development, Other sectors interested in robot applications
Deliverables: Report with consolidated results, performance assessment reports, physical demonstrations in robotic cell
Technology providers wanting to test and validate AI-driven robot programming solution across diverse sets of collarobative cells, experiment multi-modal human-robot interaction .
AI end-users looking for ways to test the AI-enhanced capabilities and improve their production efficiency.
AI developers and research organazations that want to experiment with natural language processing, gesture-based, voice-based, AR-based interaction, or hand guidance.
Infranstracture customer needs to provide: Use case scenario, CAD files, facility layout data, operational constraints, equipment information, or existing models and algorithms
Report and recommendations for action
Companies that want to test their information security management system in an internal audit and also want to involve the topic of AI (AI Act).
Deliverables: Consolidated data reports, performance assessment reports, simulation models and visualization (2D/ 3D/ VR).
Technology providers wanting to test and validate AI-enabled algorithms for industrial layout planning and optimization. Industrial end-users that are interested in evaluating alernative layouts, improving material flow arrangements and optimizing workstation placement.
Customer required infrastructure: use case scenario definition, CAD files, facility layout data, operational constraints, equipment information, or existing models and algorithms
Verified LLM based system in desired operation environment
Not specified