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    Sandvik–Rio Tinto open‑pit autonomous drilling: fleet control lessons for engineers

    June 1, 2026|

    Reviewed by Joe Ashwell

    Sandvik–Rio Tinto open‑pit autonomous drilling: fleet control lessons for engineers

    First reported on MINING.com

    30 Second Briefing

    Sandvik has partnered with Rio Tinto to integrate an autonomous drilling system (ADS) with Sandvik surface drill rigs, combining Rio Tinto’s remote operations experience with Sandvik’s AutoMine automation platform. Development will start at Sandvik’s Finnish facilities, then shift to Rio Tinto’s Perth operations centre for field trials across multiple rigs and sites. The work targets interoperable, mixed‑model autonomous drill fleets for large open‑pit mines, signalling future requirements for common control platforms and remote supervision of distributed drilling operations.

    Technical Brief

    • Co-development explicitly targets interoperability, enabling Rio Tinto’s ADS to interface with Sandvik’s AutoMine control layer.
    • Initial development and integration work are concentrated at Sandvik’s Finnish surface drilling facilities before any mine-site deployment.
    • Rio Tinto’s existing remote drilling systems at its iron ore operations provide the baseline ADS functionality for integration.
    • Open, vendor‑agnostic interfaces are a stated objective, aimed at reducing lock‑in for large open‑pit drill fleets.

    Our Take

    In our database, Sandvik features across multiple recent automation pieces, including the AutoMine Aura underground platform launches in May 2026, signalling a deliberate push to offer Rio Tinto and other iron ore operators a unified automation stack from pit to plant.

    The related item on ISO/IEC 27001 certification for Sandvik Mining’s IT delivery suggests its autonomous drilling work with Rio Tinto in Australia will sit on a security-audited digital backbone, which is increasingly important as open‑pit iron ore fleets become remotely operated and data‑rich.

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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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