Intelligent and autonomous handling, robotics,disassembly and logistic technologies

Continue the efforts for Zero-Defect-Manufacturing

• High standards for quality control, defects inspection, material classification
• Predictive Maintenance
• Automation control
• Sensors

Facilitate automation for SMEs

• Efficient, flexible & adaptative manufacturing systems
• Smart manufacturing: interoperability and integration
• Integration of AI tools

QE/QA/QM & ZDM in product-centric, hyper-customized manufacturing (I5.0)

Minimize waste (zero-defect) at speed

Speeding while innovating • Robust and Adaptive learning and control

Smart data-driven intralogistics, shift from manufacturing to intralogistics to guarantee high flexibility and timeliness.

Advanced innovative planning methods for shared resources.

• Efficient management of flexibility in manufacturing systems 
• Controlling complexity in cognitive cooperating machines and robots 
• Robotics and Automation: Dynamic flexible shop floor
• Advanced digital models and tools – model complex/deformable materials
• Full integration of cyber-physical systems, digital twins, and AI models.
• Develop explainable AI-driven tools (e.g. Generative AI) for process optimization, quality control, and supply chain management.
• Metrics of productivity 

Zero Defect Manufacturing. Manufacturing process monitoring for ZDM.

Digital updating of manufacturing assets (increase productivity with less CAPEX, prolongation of machinery production) instrumentation, data analysis , digital twin.

High variability and dexterity in footwear require advanced automation solutions

• Advanced and smart material processing technologies and process chains 
• Smart mechatronic systems, devices, and components 
• Data analytics, including artificial intelligence and deployment of digital platforms for data management and sharing (data integration) 
• Simulation and modelling (digital twins) covering the material processing level up to manufacturing system and, factory level 
• Innovative sensors, sensor materials and innovative inception methods (machine vision in combination with AI) 
• Intelligent and autonomous handling and robotics, assembly and logistic technologies

• Rapid reconfiguration and deployment of flexible production systems, assuring quality and robust performance
• Data spaces and cloud/edge solutions for responsive and robust manufacturing

Important role of Big Data, of automation, of new robot types (e.g. humanoids), new HMI types

• Guidance/navigation/manipulation/interaction/perception
• Collaborative robots
• Robots fleet management and control
• zero-defect manufacturing
• Predictive Maintenance

Design modular production systems and reconfigurable
manufacturing equipment that can be quickly adjusted to different product
lines and volumes.

The OPTIMAL project will integrate for the first-time different laser lithography technologies, quality monitoring systems and processes in one platform for the development of structures with high depth, dimensions in the range from 100 nm to sub-mm, 2D&3D shape on flat surface, combining parallel & serial patterning, no need for external treatments on samples, increased speed and large area. The OPTIMAL consortium consists of three research institutes (JOR, ISE, ILC), one university (UPR), member of the Italian Photonics Association, three Small Medium Enterprises (MRT, DPX, HYP), two big industries, leaders in their corresponding market (SDA and BCD).