Mining autonomy in practice: ABB’s phased path for brownfield fleets
Reviewed by Tom Sullivan

First reported on International Mining – News
30 Second Briefing
Mining autonomy should start with tightly scoped use cases such as autonomous drilling in a single pit, argues Björn Jonsson, Global Business Line Manager for Mining & Materials at ABB Process Industries. Jonsson points to phased deployment of fleet management, collision avoidance and trolley-assist haul trucks, integrated with existing DCS and ABB Ability™ digital platforms, rather than immediate, full-pit automation. He stresses that brownfield constraints like legacy dispatch systems, mixed OEM fleets and variable haul road geometry demand modular architectures and clear KPIs for utilisation, energy consumption and maintenance intervals.
Technical Brief
- Cybersecurity and network resilience are treated as core design constraints for any autonomy module deployment.
- Human–machine interface design focuses on centralised supervision, with operators managing exceptions rather than continuous driving.
- Workforce transition is addressed through re-skilling operators into control, maintenance and data analysis roles.
Our Take
ABB Process Industries’ autonomy narrative here lines up with our other ABB coverage where overland conveyors and integrated hoist–mill–conveyor control are framed as the backbone for energy‑efficient, remote operations, suggesting readers should view ‘autonomy’ as a plant‑wide systems problem rather than just mobile equipment.
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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