Raglan’s Anuri autonomous haulage milestone: ramp design lessons for mine engineers
Reviewed by Joe Ashwell

First reported on International Mining – News
30 Second Briefing
Raglan Mine in Nunavik, Quebec, has reached a key automation milestone, with the first autonomous haul truck at the new Anuri underground nickel mine completing an autonomous ramp climb and successfully discharging ore at surface. The Glencore-owned complex now runs autonomous haulage alongside existing high-grade underground operations at Qakimajurq and Kikialik, signalling progressive automation across multiple orebodies. For mine planners and engineers, the achievement validates autonomous truck navigation on ramp profiles typical of deep Arctic underground operations, with implications for traffic management, communications and ramp design in similar cold-climate mines.
Technical Brief
- Autonomous haulage is being integrated into Raglan’s existing high-grade underground mines Qakimajurq, Kikialik and Anuri.
- Anuri, inaugurated in 2024, is the first of the three to host autonomous trucks.
- Transition to autonomy at Anuri occurs within a cold-climate, Arctic underground environment in Nunavik, Quebec.
Our Take
Glencore’s push to automate haulage at the Raglan Mine in Nunavik aligns with its broader nickel strategy, which in our database also includes securing offtake from Centaurus Metals’ Jaguar project in Brazil, signalling a preference for long-life, high-quality nickel units supported by operational technology upgrades.
With Canada capturing only a small share of global critical minerals output despite many planned projects, a 2024-inaugurated underground nickel mine like Anuri that is already moving into autonomous haulage strengthens Quebec’s case for federal and provincial support as a technically advanced critical minerals hub.
Among recent nickel-tagged pieces in our coverage, relatively few combine underground operations, Arctic conditions and autonomy, so Raglan’s Anuri/Qakimajurq/Kikialik cluster could become a reference case for applying autonomous haulage in remote cold-climate underground mines where staffing and safety constraints are acute.
Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.
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