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Epiroc Expands Autonomous Haulage with 3D Fleet Management Platform

Epiroc Expands Autonomous Haulage with 3D Fleet Management Platform

Navigating narrow underground drifts and multi-level incline ramps has long represented a bottleneck for autonomous haulage in heavy extraction environments. Mining equipment specialist Epiroc has upgraded its flagship Deep Automation system to introduce real-time three-dimensional spatial orchestration, allowing automated haul trucks and underground loaders to negotiate complex multi-level ramp networks without driver intervention.

Underground haulage routes present extreme spatial constraints where opposing vehicles cannot pass each other outside designated bays. Conventional surface-style traffic scheduling frequently results in deadlocks, forced reversing maneuvers, and severe productivity losses. Epiroc addresses this through predictive spatial algorithms that coordinate meet-and-pass maneuvers at designated passing points well before vehicles encounter each other in single-lane drifts. By integrating dynamic spatial routing with automated speed adjustment, the system ensures continuous material movement while reducing brake wear and energy consumption across heavy haulage fleets.

Field validation for the upgraded 3D system was conducted at Agnico Eagle’s Odyssey Mine in Canada, where production crews tested the software across active multi-level haul ramps. In tandem with the software release, Epiroc confirmed that its Minetruck MT54 S and MT65 S haulage vehicles are now natively automation-ready out of the factory, joining the Scooptram underground loader series. By providing surface operators with continuous, volumetric visualization of subsurface machinery, the platform bridges the operational gap between central control rooms and deep-level extraction zones, establishing a scalable foundation for fully autonomous underground mining operations.

Written by: Marcus Vance, a mining automation specialist with 16 years of experience engineering underground haulage systems, field telemetry networks, and heavy machinery interfaces.

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