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    LGMG & Boonray RTE156 truck: OEM autonomous electric haulage lens for mine planners

    July 2, 2026|

    Reviewed by Joe Ashwell

    LGMG & Boonray RTE156 truck: OEM autonomous electric haulage lens for mine planners

    First reported on International Mining – News

    30 Second Briefing

    LGMG is partnering with autonomous driving specialist Boonray to develop the RTE156, a factory‑fitted autonomous, battery electric mining truck aimed at the Chinese surface mining market. The collaboration integrates Boonray’s AHS stack directly into LGMG’s haul truck platform, avoiding aftermarket retrofits and allowing tighter control of drive‑by‑wire, perception and fleet management systems. For mine operators, the model signals growing availability of OEM‑level autonomous electric haulage options that can be specified at purchase and tuned to local duty cycles and ramp profiles.

    Technical Brief

    • Close OEM–AHS vendor co‑design in China now covers more than a dozen haul truck models across multiple brands.

    Our Take

    LGMG’s collaboration with Boonray on the RTE156 comes as LGMG is already scaling new energy mining fleets, with a March 2026 piece in our database noting hybrid and battery-electric haul trucks and excavators being rolled out under the Lingong/LGMG umbrella, signalling a push to offer complete low‑emission fleets rather than standalone units.

    Boonray’s role on the autonomous side aligns with its positioning in China’s competitive AHS space, where an April 2026 article lists Shanghai BOONRAY alongside CiDi, EACON Mining and others, suggesting the RTE156 could be a platform Boonray uses to demonstrate capability against these established autonomy vendors.

    The RTE156 truck also fits with Boonray’s recent strategic cooperation with PT Vale Indonesia Tbk on all‑electric mining truck fleets, indicating that LGMG–Boonray solutions may be targeted first at large, international operators willing to trial fully electric, autonomous haulage in production environments.

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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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