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    Jevons Robotics ARTEV1000 Pre-Split System: safety and blast control notes for engineers

    September 23, 2026|

    Reviewed by Joe Ashwell

    First reported on International Mining – News

    30 Second Briefing

    Jevons Robotics has launched the ARTEV1000 Pre-Split System, a battery-electric robotic platform that automates loading of packaged pre-split explosives on highwalls. The system shifts all explosive loading and deployment equipment handling to remote operation, removing personnel from the highwall face and eliminating manual lifting of explosive packages. For drill-and-blast engineers, this points to tighter control of pre-split geometry and reduced exposure during highwall conditioning, especially on benches where ground conditions or scale make conventional manual loading high risk.

    Technical Brief

    • Robotic system is purpose-built for loading packaged pre-split explosives, not bulk ANFO or emulsion.
    • Removing manual handling directly targets musculoskeletal injury risks from repetitive lifting of explosive packages.
    • System design reduces personnel exposure time on narrow, geotechnically marginal highwall benches.
    • Automation of pre-split loading supports more repeatable burden/spacing, improving wall stability and catch-berm performance.
    • Similar robotic pre-split systems could be integrated with autonomous drills to create fully segregated blast zones.

    Our Take

    The related Newmont Australia deployment of an automated pre-split loading robot based on the ARTEV1000 suggests Jevons is already moving beyond prototype stage into tier-one validation, which typically accelerates acceptance of new safety-critical systems across other majors.

    With this Product–Safety tagged item and the Newmont agreement both carried by International Mining, Jevons Robotics is getting visibility in the same editorial space as IMARC and AIMEX technology coverage, which is likely to help it plug into procurement pipelines for large Asia–Pacific mine operators looking at battery-electric fleets.

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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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