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    Carmeuse Cat Command hauling at Drummond Island: design and safety notes for planners

    May 4, 2026|

    Reviewed by Joe Ashwell

    First reported on International Mining – News

    30 Second Briefing

    Carmeuse is deploying Caterpillar’s MineStar Command for hauling across its fleet of Cat 777 rigid dump trucks at the Drummond Island limestone quarry in Michigan, with implementation delivered by Caterpillar and dealer Fabick Cat. The retrofit autonomous haulage system will convert the existing 777 fleet rather than replace it, signalling growing OEM support for autonomy on mid-size quarry trucks rather than only ultra-class units. For geotechnical and quarry planners, this raises the bar on traffic management design, berm standards and interaction rules for mixed autonomous–manual operations.

    Technical Brief

    • Autonomous trucks will operate within a limestone quarry environment, with highwall, bench and dump safety berm constraints.
    • Command uses on-board obstacle detection and avoidance, tightening requirements on berm height and delineation quality.
    • Remote supervision from an off-board control room removes operators from pit traffic, rockfall and edge-risk zones.
    • Integration with MineStar fleet management allows geofenced exclusion zones around unstable faces or active drill–blast areas.
    • Mixed autonomous–manual traffic will require revised right-of-way rules, intersection layouts and signage to manage interaction risk.
    • Emergency stop and safe-park protocols must be defined for loss-of-communications events on ramps and at dumps.
    • Similar retrofits on mid-size rigid trucks could drive updates to quarry traffic codes and regulator guidance on autonomy.

    Our Take

    Fabick Cat’s role at a US limestone site reinforces how regional Cat dealers often become the de facto integrators for autonomy projects, meaning long-term support and upgrade pathways for Drummond Island will depend heavily on dealer capability rather than just OEM technology choices.

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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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