Expected results: Series of experiments needed to test: – vulnerability assessment of the industrial asset – the risk of the industrial asset to integrate with other actors (edge computing, sensors, IoT solutions) – Procedures to mitigate the identified risk. In particular, this service will highlight the limitations of defense tools which, despite commercial announcements, are still unable to deal with this kind of threat, namely fileless attacks, where everything happens in memory.
Industrial plant or asset provider
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AI-based software suitable for manufacturing
AI-based software for manufacturing Provider
A completed Spot demonstration with an assessment of the technology’s relevance for the customer’s use case and recommendations for further testing, development, or implementation.
Manufacturing, Inspection and maintenance, Human-Robot Interaction, Education and demonstration, Other sectors needing mobile robot technology
1) Production optimalisation
2) Time saving
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
A validated design-for-automation concept with documented feasibility, recommended product or process changes, and clear next steps toward robotic or AI-enabled production implementation.
Factory-Level Optimisation, Manufacturing, Industrial automation, Product development, Other industrial sectors preparing products or processes for automation
An initial technology assessment with test observations, recommendations for prototype development, and a clearer basis for further technical maturation, lab activities, or industrial application.
Robotics, Manufacturing, Autonomous systems, Drone applications, Other emerging and enabling technologies
A documented test and validation of the inspected components, materials, or biological samples, including test observations, performance assessment, and recommendations for further development, quality assurance, or implementation.
Manufacturing, Quality control and inspection, Biosolutions, Materials testing, Industrial product and process validation
Demonstrate benefits of the Digital Twin technology for product traceability
Demonstrate capabilities of intelligent grapsing technology on specified use cases
Robot Providers Industrial Users as specifiers of needs and use-cases
Report with Test Results and Evaluation
AGV, AMR provider and user, manufacturers, users that want to optimize the production process
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)
Complex machinery based on AI and robots with simplified control systems
Machine and robot Provider