RCT AutoNav Lite at Canadian gold mine: stabilisation lessons for engineers
Reviewed by Joe Ashwell
First reported on International Mining – News
30 Second Briefing
RCT – Powered by Epiroc has rapidly deployed its AutoNav Lite semi-automation package on two remotely operated dozers at a major gold mine in northern Canada to accelerate pit-wall stabilisation and remediation works in controlled zones. The system allows operators to run the dozers from a safe location outside exclusion areas while maintaining precise blade control for backfilling, bench shaping and push‑down tasks. For geotechnical and mine operations teams, this points to faster recovery of geotechnically constrained areas without exposing operators to rockfall or ground failure hazards.
Technical Brief
- Semi-automation reduces operator fatigue and reaction-time dependence, particularly important during long-duration push and backfill cycles.
- Similar semi-automated dozer deployments could shorten re-entry timelines on other mines with active wall remediation programmes.
Our Take
RCT – Powered by Epiroc’s use of AutoNav Lite on two dozers in northern Canada mirrors its AutoNav Tele deployment on an Aramine L350D at Vertex Minerals’ Reward gold mine, signalling that the company is actively building a cross-fleet automation portfolio specifically targeted at gold operations rather than single-asset pilots.
Within our mining safety-tagged coverage, Epiroc increasingly appears in stories where automation is used for remediation or constrained-access work (from Canadian gold stabilisation to Indian tunnelling without blasting), suggesting the company is positioning its technology as a risk-reduction tool for geotechnically sensitive environments.
Among gold-related items in our database, automation has mostly focused on loaders and haulage; applying AutoNav Lite to dozers in northern Canada extends autonomy into ground-conditioning and stabilisation tasks, which could influence how operators scope future remediation packages and contractor interfaces on cold-climate sites.
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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