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    ARLYX autonomous underground material handling: design and retrofit notes for mines

    May 25, 2026|

    Reviewed by Tom Sullivan

    First reported on International Mining – News

    30 Second Briefing

    Canadian company ARLYX Technologies has unveiled what it calls the first complete, fully electric autonomous material-handling system purpose-built for underground mines, developed over two years in Quebec and trialled under production conditions at a Tier 1 operation. The package integrates battery-electric haul units with autonomous navigation and loading, targeting fully driverless tramming and transfer between drawpoints, orepasses and crushers. A public technology demonstration is scheduled at the Mining Transformed event from 25–27 May 2026, giving operators a chance to assess retrofit potential and infrastructure requirements.

    Technical Brief

    • System architecture appears modular, allowing haul units to be swapped or scaled without redesigning mine layouts.
    • Battery-electric configuration removes diesel exhaust constraints, potentially relaxing ventilation design and fan duty in headings.
    • Autonomous tramming between drawpoints and crushers implies precise localisation in GPS-denied headings, likely using LIDAR and beacons.
    • Purpose-built underground design suggests low-profile chassis and tight turning radii for narrow drifts and crosscuts.
    • Integration focus is on end-to-end material flow automation, not just isolated autonomous trucks or loaders.
    • Retrofit emphasis means compatibility with existing orepasses and crusher inlets, avoiding major civil modifications.
    • For other underground mining operations, such systems could shift bottlenecks from haulage to crushing or hoisting capacity.

    Our Take

    For underground operators in Europe pursuing low-emission ‘green fleets’ such as Boliden’s copper, nickel and zinc operations, a complete autonomous material handling package from a Quebec developer could be a near-term bolt-on to electrified fleets rather than a full fleet replacement decision.

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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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