Imagine a smart robot that can spot a tiny scratch on a car door and then another robot that knows exactly how to sand it down to make it perfect. Instead of humans doing this tiring and dusty work, they just supervise the robots. It's like having a digital eye and a robotic hand that learn from the best human craftsmen.
Workers in manufacturing perform physically demanding and hazardous grinding tasks to meet high aesthetic standards. This leads to safety risks and inefficiency in removing surface defects.
A dual-robot system consisting of a defect analysis robot (SR) and a defect rework robot (CR) powered by AI and machine learning.
If you are a car manufacturer dealing with surface imperfections in mid-segment vehicles — this project developed a dual-robot system that identifies and reworks defects. This removes the need for workers to perform physically demanding grinding in hazardous environments.
If you are a producer dealing with strict aesthetic quality standards for luxury goods — this project developed AI modules that discriminate defects from multi-modal data. This ensures products are defect-free before the final production phase.
If you are a component manufacturer dealing with precision surface finishing — this project developed a modular automation solution for defect analysis and repair. This shifts hazardous tasks to robots while humans focus on supervision and control.
Based on available project data, specific pricing or cost details for the robotic solutions are not provided.
The project is designed as a modular automation solution and is being tested in an automotive use case, with plans to expand to other fields via Open Calls for SMEs.
Based on available project data, there is no specific information regarding the licensing model or patent status.
The solution relies on a common robotic platform and can be used in connection with existing welding robotic stations to adapt process parameters.
The project period runs from 2023-10-01 to 2027-09-30, with on-site assessments already conducted in January 2024.
The consortium is heavily industry-weighted with a 45% industry ratio, including 5 companies and 3 SMEs. This strong commercial presence, combined with 6 academic and research partners across 7 countries, suggests a high focus on practical application rather than pure theory.
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