Epiroc LinkOA AHS quarry order: autonomy retrofit takeaways for mine planners Reviewed by Tom Sullivan First reported on International Mining – News 30 Second Briefing Epiroc has secured an order from Heidelberg Materials to deploy its LinkOA autonomous haulage system on driverless haul trucks at an Australian quarry, extending the platform from large open-pit mines into the quarrying and aggregates sector. The project will adapt LinkOA’s mine-proven fleet management, collision avoidance and traffic control capabilities to shorter haul cycles, tighter geometries and mixed-traffic quarry conditions. For quarry operators, this signals accelerating interest in OEM-agnostic autonomy retrofits on existing haul fleets to cut operating costs and manage labour constraints. Technical Brief - LinkOA deployment will retrofit autonomy onto existing haul trucks rather than requiring new fleets. - System integration must accommodate quarry-specific loading, dumping and crusher-feed layouts and traffic patterns. - Epiroc’s scope includes adapting collision-avoidance and traffic-control logic to mixed-use quarry haul roads. - Implementation at a quarry provides a testbed under strict local safety and regulatory requirements. - OEM-agnostic design allows future expansion to different truck brands within the wider fleet. - Data from autonomous cycles will feed into production planning and cost-optimisation workflows. - Successful deployment could inform autonomy rollouts across global aggregates operations, beyond this initial site. Our Take The related 1 May 2026 piece on Heidelberg Materials’ global rollout of autonomous heavy mobile equipment suggests this Epiroc AB order is part of a multi‑site, multi‑vendor autonomy strategy rather than a one‑off deployment in Australia. Applied Intuition’s work with Heidelberg Materials at Clarence Sands in New South Wales, reported on 30 April 2026, indicates that the LinkOA AHS order will have to coexist or integrate with other autonomy stacks, which will matter for fleet management, safety cases and long‑term vendor lock‑in. Prepared by collating external sources, AI-assisted