This startup wants to dismantle EVs to solve Europe’s critical materials problem

2026-02-05 · Source: Sifted · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems · Depth: Novice, short

Summary

Luxembourg-based R3 Robotics, formerly Circu Li-Ion, has secured €20 million in funding to expand its operations from battery upcycling to the full dismantling of electric vehicles (EVs). This initiative aims to address Europe's critical raw material supply challenges, which are exacerbated by heavy reliance on foreign supply chains and geopolitical tensions. The company's platform utilizes computer vision, AI, and robotic tooling to automate the disassembly of lithium-ion battery packs, e-motors, power electronics, and other high-value electrified components. R3 Robotics currently has a process capacity of 1,500 tonnes of batteries per year at its German site in Karlsruhe, with an R&D facility in Luxembourg, focusing on repairing products for reuse or clean recycling streams. The funding, comprising a €14 million Series A and €6 million in European grants, will support facility expansion, team growth, and market entry into new geographies like France, Germany, and the US.

Key takeaway

For Computer Vision Engineers developing industrial automation solutions, R3 Robotics's approach demonstrates how combining computer vision, AI, and robotics can create scalable, economically viable systems for complex disassembly tasks. You should explore integrating off-the-shelf hardware with custom end effectors and intelligent software to tackle material recovery challenges, potentially leveraging a robots-as-a-service model to minimize logistical overhead and maximize material value retention.

Key insights

Automated EV dismantling using AI and robotics can secure critical material supply chains and meet recycling targets.

Principles

• Minimize logistics by processing products close to their source.
• Automate disassembly for ecological and economic viability.

Method

R3 Robotics employs computer vision, AI, and robotic tooling with in-house designed end effectors and a proprietary software stack to automate the multi-step disassembly of EV components.

In practice

• Implement robots-as-a-service for material recovery.
• Focus on high-value electrified components for dismantling.

Topics

• Robotics
• Computer Vision
• AI Automation
• EV Recycling
• Critical Materials Recovery

Best for: Computer Vision Engineer, Investor, Entrepreneur, AI Product Manager

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Editorial summary, takeaway, and curation by AIssential. Original article published by Sifted.