End-User Benefits: Optimization of process parameters selection, rapid reconfiguration to dynamic market needs
Technology Developer Benefits: opportunity to integrate and validate innovative add-on functions on DED AM processes, access to sensor infrastructure, AM equipment and combined AI and process expertise
Deliverables: Experimentation and validation reports, performance evaluation results
Technology providers and AI developers wanting to integrate, test, and validate data-driven tools and add-on functionalities for Directed Energy Deposition (DED) additive manufacturing processes.
Industrial end-users wanting to optimize process parameters, improve production efficiency, and enable rapid reconfiguration to meet changing market demands.
Client Required Infrastructure: Process specifications and application requirements related to DED AM (materials, geometries, performance targets).
End-User Benefits: Early detection of defects and anomalies, improved final part quality and reduced scrap rates
Technology Developer Benefits: Opportunity to integrate and validate innovative add-on functions on DED AM processes, access to sensor infrastructure, AM equipment and combined AI and process expertise
Deliverables: Experimentation and validation reports on AI-based quality assessment solutions for DED AM, performance evaluation results
Technology providers and AI developers wanting to integrate, test, and validate AI-based quality assessment solutions for Directed Energy Deposition (DED) additive manufacturing processes.
Manufacturing companies and industrial end-users wanting to improve part quality, detect defects early, and reduce scrap rates through advanced monitoring and analysis.
Client Required Infrastructure: Process specifications and quality requirements (e.g., materials, geometries, acceptance criteria)
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• Validated AI-based pallet loading optimization tool
• Improved loading efficiency and resource utilization
• Adaptation of the tool to product variability
• Benchmarking results demonstrating performance and scalability
• Readiness for deployment in industrial environments
Deliverables: Comprehensive technical report (specification analysis, algorithm adaptation, dataset preparation and training approach, implementation and benchmarking results), validated optimization tool (prototype level), performance evaluation results and recommendations for industrial deployment
Manufacturing (e.g. aluminum products, discrete manufacturing) Logistics and warehousing Packaging and supply chain operations
Tech provider benefit: Access to advanced RSW and monitoring testbed for assessing the feasibility of different sensing technologies, and the development/retraining of AI-based Quality Assurance solutions.
End User (Product) benefit: AI-based system for Quality Assessment of RSW applications with low data requirements.
Deliverables: Consolidated results reports, Performance assessment reports
Technology providers want to develop and validate AI-based quality assessment and monitoring processes for robotic systems.
Industrial end-users that are interested in enhancing welding quality and optimize processes using AI-based monitoring and sensing technologies.
Infranstracture customer needs to provide: Sample parts, materials, or components representative of their welding processes for testing and validation.
Deliverables: Consolidated data reports, AR/VR application demonstrations
Technology providers interested in testing their developed AI-based human-robot collaboration solutions with AR or VR tools. Industrial end-users wanting to improve flexible production using AI-based tools for operator guidance, personalization of instructions and interfaces.
Customer required infranstructure: use case scenario definition, operational constraints, equipment information, or existing models and algorithms
Deliverables: Reports with consolidated results, physical demonstration in robotic cell, performance evaluation reports
Technology providers looking to develop and validate AI-based task planning and multi-robot orchestration in dynamic environments.
End-users wanting to optimize available resources, minimize idle time, prevent bottlenecks and maximize productivity and efficiency.
Infrastracture required by customer: use case scenario, CAD files, facility layout data, operational constraints, equipment information, or existing models and algorithms
Tech provider benefit: Analysis on the appropriate AI approach and outlines its potential benefits to the process, enabling for assessment in the expected productivity and efficiency improvements from AI integration.
Deliverables: Report with consolidated results, performance assessment reports
Technology providers wanting to assess the feasibility of integrating advanced AI solutions into existing workflows or workcells.
AI developers interested in evaluating process segmentation, dataset readiness, and identifying suitable AI approaches to improve productivity and efficiency.
Infranstracture customer needs to provide: Description of the existing workflow or workcell (process steps and constraints), system architecture, CAD models and relevant datasets for structure and suitability assessment.
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
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
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
Deliverables: Consolidated results reports, Performance analysis reports
Technology providers that are developing AI-based monitoring and control solutions for chatter in milling processes. End-users wanting to optimize milling operations.
Customer required infranstructure: Use case scenario, CAD files, process specifications, existing models and algorithms
Deliverables: feasibility report, recommendations for improvement
Technology providers developing AI-based machine vision solutions and want to test it with the use of synthetic data. Industrial end-users wanting to enhance their systems using AI.
Customer required infrastructure: Reference parts or samples access, CAD files, operational constraints, equipment information, or existing models and algorithms
Benefits for Technology Providers: Access to a state-of-the-art, integrated testbed combining robotic manipulation and advanced vision sensing, accelerated development, testing, and validation of object detection and pose estimation algorithms
Benefits for End Users: Deployment of intelligent perception capabilities for reliable product identification and precise pose estimation, improved flexibility and efficiency in handling diverse products within reconfigurable production lines
Deliverables: Consolidated experimental results and validation reports, detailed performance analysis, including accuracy, robustness, and system efficiency metrics
Technology providers developing AI-based vision systems for industrial applications
End-users aiming to design and deploy flexible, reconfigurable production lines with diverse product handling requirements
Customer required infranstructure: Defined use-case scenarios and operational workflows, CAD models and digital representations of target parts, process specifications (e.g., cycle time, accuracy requirements, constraints), existing datasets, models, or algorithms (optional but recommended)