Imagine a factory where robots and people work together like a well-coordinated team, switching tasks on the fly without needing a programmer to rewrite the code. It's like having a smart office where the furniture and tools automatically rearrange themselves based on who is in the room and what needs to be built. This system uses a digital brain to keep everyone safe and efficient, regardless of the product being made.
Manufacturing firms struggle to adapt production lines quickly due to rigid automation and the difficulty of integrating human workers with robots safely and efficiently.
A reconfigurable production system featuring multi-level AI cognition, a Big Data pipeline for Digital Twins, and a social-industrial environment for human-robot collaboration.
If you are a vehicle manufacturer dealing with rigid assembly lines that struggle with model changes — this project developed a reconfigurable production system that allows humans and robots to exchange tasks seamlessly. This ensures production stays fluid even during economic shifts.
If you are an aircraft producer dealing with complex, low-volume parts that require high precision — this project developed a multi-level AI cognition system. This allows autonomous agents to adapt to diverse production environments while ensuring a safe user experience.
If you are a 3D printing firm dealing with unpredictable post-processing workflows — this project developed a Digital Pipeline for real-time capturing and processing of data. This enables robots and humans to collaborate with minimal intervention.
Based on available project data, specific pricing or implementation costs are not provided.
Yes, the project is designed for industrial scale, testing results across four major sectors: Automotive, Aircraft Production, White Goods, and Additive Manufacturing.
Based on available project data, specific licensing terms are not mentioned, but the project aims to promote results via an Open Pilot Network.
It uses a Big Data pipeline and a robotics integration platform to interconnect production entities, allowing for real-time data capture via Digital Twins.
The project period runs from 2022-09-01 to 2026-08-31, indicating the development and validation phase is currently active.
The consortium is heavily industry-weighted with a 65% industry ratio, comprising 11 companies across 9 countries. The presence of global giants like FORD, IAI, and ELUX suggests a high focus on commercial viability and direct industrial application rather than pure academic research.
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Contact us to connect with the CONVERGING consortium for pilot integration.
