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    RCT AutoNav at historic nickel mine: safety and autonomy lessons for engineers

    June 26, 2026|

    Reviewed by Tom Sullivan

    RCT AutoNav at historic nickel mine: safety and autonomy lessons for engineers

    First reported on MINING.com

    30 Second Briefing

    RCT – Powered by Epiroc – has deployed its agnostic AutoNav Tele system on two CAT D10 dozers and a CAT 992 wheel loader to support the restart of a historic Canadian nickel mine transitioning from underground to open pit operations above legacy voids. Operators now work from an AutoNav Cabin with ergonomic seating and temperature control, critical in -20°C conditions and reducing exposure to potential surface instability. RCT also engineered site communications for extreme weather and a Geofence Zone with crest detection to prevent machines crossing the dam edge, and trained mine staff for on-site autonomy.

    Technical Brief

    • Automation was deployed as a preventative control, not post-incident, aligning with risk-based mine restart planning.
    • Similar brownfield pit-above-voids projects can adapt this model: geofenced exclusion, climate-resilient comms, and remote operation as primary controls.

    Our Take

    RCT – Powered by Epiroc’s work at this Canadian nickel mine follows its rapid AutoNav Lite deployment at a northern Canada gold operation (12 May 2026), signalling that cold-climate, remote-control dozing and haulage is becoming a repeatable offering rather than a one-off solution.

    With the US Commerce Department backing I-Pulse Inc. to the tune of $250 million, both North American governments and OEM-linked tech providers like Epiroc/RCT are clearly funnelling capital and R&D into upstream technologies that can de-risk critical mineral supply such as nickel in Canada.

    Temperatures down to -20°C at the Canadian Nickel mine put RCT’s AutoNav Cabin and geofencing in the same operating envelope as other Arctic and sub-Arctic assets in our database, where automation has often been adopted first for exposure reduction and equipment protection rather than pure labour savings.

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    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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