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Validation and benchmarking of Hardware & Software technologies as well as innovative tools at semi-industrial scale (reliability, performance, robustness) in the field of high precision manufacturing (micro manufacturing).
Validation and benchmarking of Hardware & Software technologies as well as innovative tools at semi-industrial scale (reliability, performance, robustness) in the field of micro AM.
Validation and benchmarking of Hardware & Software technologies as well as innovative tools at semi-industrial scale (reliability, performance, robustness) in the field of laser-based surface texturing processes for specific surface functionalisation or improved structural behaviour.
Support to Hardware/Software technologies development and validation through integration support and testing (interoperability, connectivity, compatibility) in the execution of pre-defined manufacturing-related tasks in the field of liquid state composite manufacturing processes.
Validation and benchmarking of Hardware & Software technologies as well as innovative tools at semi-industrial scale (reliability, performance, robustness) in the field of liquid state composite manufacturing processes.
Support to Hardware/Software technologies development and validation for specific manufacturing devices through integration support and testing (interoperability, connectivity, compatibility) in a semi-industrial manufacturing environment.
Validation and benchmarking of Hardware & Software technologies as well as innovative tools linked to specific manufacturing devices at semi-industrial scale (reliability, performance, robustness) through experimentation (short runs, prototyping, etc.) in the field of manufacturing.
Data elaboration based on existing manufacturing datasets and provisioning of industry-relevant collections of manufacturing datasets linked to the production systems and capabilities offered by AIMEN (Composites manufacturing, AM, welding, cutting, etc.) ready to be used
Evaluation of the performance, quality, and accuracy of results offered by different advanced algorithms for specific applications in industrial operational processes using synthetic data generated by digital twins based on process data under study. The
Evaluation of customer’s advanced algorithms for applications in operational processes (manufacturing – warehouses – logistics) and demand forecastin against different use cases. Analysis of performance. Proposal and initial evaluation of alternative, complementary or improved solutions
Characterization of the performance of the cobot control system through test batteries and measurements to evaluate trajectory precision and collision avoidance against predefined objective indicators. The result will be a technical report describing the conducted
Evaluation of the performance offered by different advanced algorithms for autonomous navigation. through test batteries and measurements to assess their behavior against predefined objective indicators. Two possibilities are considered: – the use of real machines
Evaluation of customer’s autonomous navigation strategies against different use cases. Analysis of performance. Proposal and initial evaluation of alternative, complementary or improved solutions to maximice the capabilities and perfomance of the proposed solution in objective
Construction of physically based digital twins of material transformation processes (for instance: injection, extrusion, stamping, peen forming, forging, RTM, 3D printing, chemical reactors, etc) and surrounding production environment (for instance: ventilation, pollutants distribution, etc.) to
Construction of physically based simulation models (continuous) of material transformation processes in manufacturing (for instance: injection, extrusion, stamping, peen forming, forging, RTM, 3D printing, chemical reactors, etc) and surrounding production environment (for instance: ventilation, pollutants
AI can help in detecting and diagnosing faults in electric systems. By analyzing real-time data from sensors and historical data, AI algorithms can identify abnormal behavior, predict potential failures, and provide early warning signs. This
The evaluation of advanced algorithms in real-time plays a pivotal role in the development and control of both smart grid, hybrid energy storage devices, electrical systems, motors and power converters. This activity aims to comprehensively
Evaluation of customer’s control strategies and algorithms for smart electrical grids against different use cases. Analysis of performance. Proposal and initial evaluation of alternative, complementary or improved solutions to maximice the capabilities and perfomance of
This service offers tests and measurements to evaluate the performance of artificial vision and perception systems used for automatic Identification in industrial processes. Performance indicators will be defined and batteries of tests will be carried
Evaluation of customer’s solutions for artificial vision and perception algorithms used for automatic Identification in industrial processes against different use cases. The evaluation of customer’s algorithms to provide advanced data processing of heterogeneous data sources
Evaluation of the performance offered by different advanced algorithms for object recognition. The result will be a technical report describing the algorithm results based on a set of predefined indicators to evaluate their performance. Target
Evaluation of customer’s technologies for environment recognition and object identification in robotic processes against different use cases. Analysis of performance. Proposal and initial evaluation of alternative, complementary or improved solutions to maximice the capabilities and
Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the Directorate-General for Communications Networks, Content and Technology. Neither the European Union nor the granting authority can be held responsible for them.
© copyright 2024 AI-Matters
© copyright 2024 AI-Matters
