PROGRESIUM

PROGRESIUM is an initiative framed within the CDTI Innovación’s INNTERCONECTA program, aimed at transforming the industrial recycling sector by integrating advanced automation, Artificial Intelligence, and STEP digital technologies within the framework of the circular economy.

The project addresses the industry’s main operational challenges including high logistics costs, low levels of automation, and occupational health and safety risks, by developing an intelligent, comprehensive solution. To achieve this objective, the initiative is structured into four strategic phases spanning from the definition of operational requirements and process optimization to the creation of pre-validation environments and the subsequent execution of trials in industrial plants.

The technical value of PROGRESIUM lies in the synergistic combination of non-contact optical inspection (using RGB, hyperspectral cameras, and Raman spectroscopy), collaborative mobile robotics for dismantling, Augmented Reality assistance, and teleoperation systems deployed over hybrid IoT-Edge/Cloud architectures supported by adaptive AI.

The integration of deep learning models (such as YOLOv10 or Deep Reinforcement Learning) alongside hydrometallurgical processes makes it possible to forecast logistics demand, optimize transport routes in real time, remotely control heavy machinery, and sort or recover complex materials with high precision, such as black plastics, waste electrical and electronic equipment (WEEE), and critical raw materials.

ROBOTNIK IN THE PROJECT

Within the framework of the PROGRESIUM project, Robotnik leads the research, development, and integration of autonomous robotics solutions and intelligent physical-mechanical systems applied to industrial recycling.

The entity’s participation is structured around two strategic axes:

• Heavy Machinery Automation: Transformation of conventional cranes into autonomous manipulators capable of managing heterogeneous scrap metal through the integration of IoT-Edge nodes, computer vision, and advanced sensing for safe operation.
• Collaborative Mobile Robotics: Development of Collaborative Mobile Manipulators equipped with LiDAR navigation and picking tools for the safe dismantling and separation of complex electronic (WEEE) and industrial components.

Finally, the developed prototypes will be experimentally validated both in laboratory environments and through real-world pilot tests at the ACTECO and GBP Metal Group plants.