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04/06/2026

EU International Drone Show 2026

Real-World Robotics Data Generation

Service description

The service produces real data on movement, forces, contacts, and errors during the execution of specific tasks. The datasets can be used for training, validation, or benchmarking of robotic AI models.
Expected results: High-quality, real-world datasets suitable for training, validation, and benchmarking of robotic AI models, with known ground truth and experimental conditions.
Methodology: Task-specific experimental protocols are defined to generate structured datasets using a humanoid robot. Data acquisition includes kinematics, dynamics, forces, contacts, sensor feedback, and error events, with repeatable and documented conditions.
Target: Manufacturing industries, Phisical AI companies

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