Vale–Caterpillar autonomous truck expansion in Pará: productivity and safety notes for ...
Reviewed by Tom Sullivan

First reported on MINING.com
30 Second Briefing
Vale, Caterpillar and dealer Sotreq have agreed to expand Vale’s autonomous haulage fleet in the Northern System in Pará from 14 Cat MineStar Command trucks today to about 90 units by 2028, including models rated up to 400 tonnes. Deployment will roll out across the Serra Norte and Serra Sul iron ore units over five years, building on autonomous operations that started in 2019. Vale reports up to 15% gains in operational performance, up to 7.5% fuel savings and more than 260 staff already retrained for digital and supervisory roles.
Technical Brief
- Existing Northern System autonomous fleet uses 320 t capacity haul trucks under Cat MineStar Command.
- Roll-out is confined to Vale’s Serra Norte and Serra Sul iron ore units in Pará.
- Since 2019, more than 260 workers have been upskilled to interact safely with digital haulage controls.
- Vale frames autonomy in the Northern Corridor as a core element of its operational excellence and safety culture.
Our Take
Within our 328 Mining stories, Vale’s iron ore operations in Pará stand out as one of the few large-scale deployments where autonomous haulage (via Cat MineStar Command) is being scaled beyond pilot phase, signalling that Brazilian iron ore is moving into the same automation league as the Pilbara majors.
The planned ramp-up from 14 to about 90 autonomous trucks by 2028 at Vale’s Northern System positions Caterpillar as a key automation supplier in iron ore, complementing its role in the BHP/Rio Tinto 793 XE battery-electric trials, and suggests OEMs are using high-volume iron ore hubs as testbeds for both autonomy and future low‑emission haulage.
Training more than 260 professionals since 2019 for autonomous operations in Pará and Minas Gerais indicates that workforce transition is now a material project stream for Vale, and operators looking at similar iron ore or bauxite/aluminium chains in Brazil will likely need comparable in-house capability rather than relying solely on OEM support.
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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