Imagine a robot that can look at a used electronic device or car part and figure out how to take it apart without being told exactly where every screw is. Instead of a human doing the tedious work of sorting trash, these smart machines learn to recognize worn-out parts and decide the best way to recycle them. It is like giving a factory arm a brain that understands how to un-build things to save materials.
Current recycling and dismantling processes rely on rigid robot programming and human expertise, making them unable to handle the high variability of used products. This creates a bottleneck in the circular economy where products cannot be efficiently disassembled for reuse.
AI-driven collaborative robotic systems capable of autonomous reasoning, perception, and adaptation for processing end-of-life products.
If you are an e-waste processor dealing with high variability in discarded devices — this project developed AI-driven collaborative robotic systems that reason and adapt to different product states. This allows for autonomous dismantling of electronics to recover precious metals more efficiently.
If you are a battery recycler dealing with complex disassembly of used power cells — this project developed perception and cognition tools that understand the state of parts after their first life. This reduces the need for highly skilled engineers to program every single robot movement.
If you are a machinery refurbisher dealing with inconsistent wear and tear on returned parts — this project developed systems that combine data and knowledge to optimize the value chain. This enables autonomous decision-making on whether to repair or recycle individual components.
Based on available project data, there is no specific pricing or cost information provided.
Yes, the project objective explicitly states that these systems will be validated at scale and in major industries to showcase optimization from the cell to the whole value chain.
Based on available project data, there are no details regarding the IP or licensing agreements for the developed AI and robotics solutions.
The project focuses on easy-to-use and deploy AI-driven collaborative robotic systems that combine mobile manipulators and flexible grippers to integrate into existing manufacturing environments.
The project is active from 2025-01-01 to 2028-12-31, suggesting the technology will be refined and validated through the end of 2028.
The consortium is well-balanced for commercialization, featuring 11 partners across 8 countries. With a 45% industry ratio (5 industrial partners), there is a strong link between the research and actual market application, ensuring the AI-driven robotics are developed for real-world industrial environments rather than just academic settings.
Contact PANEPISTIMIO PATRON in Greece
Contact us to find the right industrial partner from the ROB4GREEN consortium for your recycling needs.
