This service demonstrates how advanced manufacturing technologies can be leveraged and adapted to handle a wide variety of objects and components. It highlights the practical impact of these technologies on real-world manufacturing processes, enabling users to better understand performance, flexibility, and added value in production environments.
When new or additional technologies are integrated and tested within this setup, the result is validated innovation in a real manufacturing context. This contributes to increasing the Technology Readiness Level (TRL), supporting the transition from experimental solutions to scalable, industry-ready applications.
User: manufacturing companies that operate in high-mix, low-volume settings and need flexibility in their production processes.
Technology evaluation, demonstrator
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!
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.
User - Manufacturing companies operating in high-mix, low-volume and high-complexity environments that need reliable part identification to automate post-processing
User - Manufacturing companies operating in high-mix, low-volume and high-complexity environments that need reliable parts handling and baggibg to automate post-processing
Evaluation of ability to leverage existing technology for high variability of parts
User - Manufacturing companies operating in high-mix, low-volume and high-complexity environments that need reliable part post-processing automation for high-variation manufacturing
User - Manufacturing companies operating in high-mix, low-volume and high-complexity environments that need reliable part identification and sorting to automate post-processing
User - Manufacturing SME's seeking to improve product quality and efficiency of the inspection process
Validate the applicability, scalability, and adaptability of the AI-driven solution across different manufacturing processes. Demonstrate impact of the applied technology
Manufacturing companies that what to unlock potential of data to improve decision making, optimise operations, enhance machine health, with explicit attention to machine-human interaction and scalability.
Technology evaluation, demonstrator
Demonstrator
A detailed report with:
Target group: AI-Users in manufacturing, including:
SMEs in robotics, automation, and quality control.
Engineers and developers working on AI-driven diagnostics or multi-agent systems.
Target industries: Manufacturing, robotics, automation, logistics, and quality assurance.
A comprehensive technical report including:
Robotics, Automation, AI Development, Manufacturing, Logistics, and Industrial Automation.
Technology evaluation, demonstrator
AI-User (e.g. manufacturing company) & AI provider (e.g. technology provider, engineering company, integrator)
Demonstrate applicability of the solution for manufacturing industry and fulfilling needs of multiple users – SMEs from manufacturing industry
Furthermore, as a result of the experiment, the client receives a comprehensive evaluation report outlining the performance and feasibility of the proposed robot automation solution for client’s specific use cases.
The report provides clear conclusions on whether the solution meets the client’s needs, including its ability to operate across multiple machines without requiring additional programming or reconfiguration for each new setup.
AI-User - manufacturing companies that operate in high-mix, low-volume settings or constantly changing parts and need flexibility in their production processes
A comprehensive report including:
Manufacturing, Logistics, Automation, Robotics, AI Development, Warehousing, Industrial Automation.