A documented 360-degree risk assessment of the robot technology, including identified safety and cybersecurity risks, mitigation recommendations, and guidance for further development or compliance work.
Manufacturing, Factory-Level Optimisation, Robotics and automation, Machine builders and integrators, Other industrial sectors using robot technology
A documented assessment of whether 3D CAD-based vision can solve the specific production task, including solution options, demonstration results, and a comprehensive report with recommendations for next steps.
Circular economy, Factory-Level Optimisation, Human-Robot Interaction, Computer vision, Other emerging and enabling technologies
Don't feel like browsing, but do want to get in contact?
Share your contact information and our project managers will get back to you!
Report, measurement results
Hardware Providers
Report and Prototype
AGV, AMR provider
Improved model performance, improved plant performance, reduced latency, better resource utilization, enhanced scalability, and seamless integration across cloud and edge environments for real-time AI processing.
Manufacturing
AI-based software suitable for manufacturing
Robot provider, tool Provider
Testing activities needed to validate the following features: – bottleneck identification – multi – scheduling scenarios proposition based on machine learning concept – test and validation of multi-objective optimization function.
Industrial scheduling platform activities
Ai-based solution: 1) Technical and business requirements; 2) Data field collection for cost monitoring; 3) Intelligent quotation platform activities
Industrial product provider – Platform Provider
documentation + summary-report
anyone with an ai solution (whether someone who developed it or someone who bought it)
The service is meant to support the implementation of AI based configuration tools. The expected result is a validated AI-based solution able to either suggest produt/service settings ot to automatically adjust the product/service itself according to specific condition (i.e. user type, environment, product type etc)
Manufacturing companies, Equipment provider, OEM
Validated & optimized AI chatbot
Software solution provider
Demonstrate that application of AI reinforcement learning can greatly improve efficiently and reduce costs as compared to conventional heuristic production planning
AI-User - manufacturing companies that want to improve efficiency of production planning and resource management.
Validation of the industrial simulation model for the selected process
Test of the information flow among the physical and digital and virtual world.
Manufacturing companies and asset providers - Software solution providers for digital twins
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)
Validated & optimized AI algorithm
Manufacturing companies