Improved alignment between simulated and real-world humanoid behavior, resulting in more accurate models, reduced transfer errors, and increased reliability of simulation-based development.
Manufacturing industries, Phisical AI companies
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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
Technical validation dossier;
Performance benchmarking results;
Grid stability and optimisation assessment;
Identified bottlenecks and mitigation strategies;
Recommendations for scale-up to real factory deployment
IT, Energy
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. This de risks mobile robotics investment, enables automated routine inspection routines that reduce manual inspection hours by up to 50 percent, and builds on proven test deployments in power generation, processing plants, and construction environments.
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. This process validates optical inspection feasibility before CapEx commitments, cutting manual quality control labor by up to 60 percent, backed by proven test cases in automated agar colony counting and precision manufacturing surface inspection.
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