Imagine a fleet of smart, miniature robots that can dive into dangerous, abandoned mines where humans can't go. These robots act like high-tech scouts, drilling and analyzing rocks on the spot to find valuable minerals. They create a digital map of the underground world so companies can extract resources without damaging the surface or risking lives.
Mining companies face declining profitability and high safety risks when extracting minerals from deep or abandoned mines. Traditional human-scale machinery is often too large or dangerous for these environments.
Autonomous drilling machines with perception capabilities and digital twin-based geo-models for real-time ore grading and mine planning.
If you are a mining company dealing with hazardous deep deposits where human presence is too risky — this project developed autonomous drilling machines that enable zero human presence in high-risk areas.
If you are a reclamation specialist dealing with old, unstable mine shafts — this project developed small-scale robotics that can explore and characterize ore bodies without needing heavy surface infrastructure.
If you are a sourcing company dealing with unstable imports of critical raw materials — this project developed in-situ analytics for ore grading that helps secure domestic EU resources more efficiently.
Based on available project data, specific pricing or cost structures for the machines are not provided.
The project aims to validate concepts at TRL 5, meaning it is moving toward industrial relevance, but full-scale commercial deployment is not yet detailed.
Based on available project data, there is no specific information regarding the IP or licensing agreements for the developed technologies.
The project period runs from 2024-01-01 to 2026-12-31.
The project develops interoperable geo-models and digital twins to support optimal planning of drilling and extraction workflows.
The consortium is heavily industry-weighted with a 58% ratio, comprising 7 industrial partners and 3 SMEs. This strong commercial presence, combined with 3 universities and 1 research center across 8 countries, suggests the project is designed for practical application rather than pure academic research.
Luleå Tekniska Universitet
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