Skip to main content

Envisioning is an emerging technology research institute and advisory.

LinkedInInstagramGitHub

2011 — 2026

research
  • Reports
  • Newsletter
  • Methodology
  • Origins
  • My Collection
services
  • Research Sessions
  • Signals Workspace
  • Bespoke Projects
  • Use Cases
  • Signal Scanfree
  • Readinessfree
impact
  • ANBIMAFuture of Brazilian Capital Markets
  • IEEECharting the Energy Transition
  • Horizon 2045Future of Human and Planetary Security
  • WKOTechnology Scanning for Austria
audiences
  • Innovation
  • Strategy
  • Consultants
  • Foresight
  • Associations
  • Governments
resources
  • Pricing
  • Partners
  • How We Work
  • Data Visualization
  • Multi-Model Method
  • FAQ
  • Security & Privacy
about
  • Manifesto
  • Community
  • Events
  • Support
  • Contact
  • Login
ResearchServicesPricingPartnersAbout
ResearchServicesPricingPartnersAbout
  1. Home
  2. Research
  3. Stratum
  4. Autonomous Mining Vehicle Systems

Autonomous Mining Vehicle Systems

Chile's Codelco has operated autonomous haul trucks since 2008; post-2025 El Teniente collapse, underground autonomy is being fast-tracked with remote LHDs and drill systems.
Back to StratumView interactive version

Chile's mining industry — the world's largest copper producer — has been at the forefront of autonomous mining vehicle deployment since Codelco introduced 18 autonomous haul trucks at its Gabriela Mistral open-pit mine in 2008. The technology includes GPS-guided autonomous haul trucks (300+ ton capacity), autonomous drill rigs, and remote-operated load-haul-dump (LHD) vehicles for underground operations. Caterpillar, Komatsu, and Epiroc provide the primary autonomous platforms.

The July 2025 El Teniente mine collapse — Chile's worst mining accident in decades, killing six workers — dramatically accelerated the push toward underground automation. Codelco announced a fast-track automation program to reduce human exposure in the world's largest underground copper mine. The technology challenge is greater underground than in open-pit: GPS doesn't work below surface, environments are more confined, and rock conditions are less predictable. Solutions include LiDAR-based navigation, mesh radio networks for underground communications, and AI systems that detect geological instability.

The economic and safety imperatives align: autonomous systems operate 24/7 without shift changes, eliminate human exposure to rockfall and dust hazards, and achieve more consistent haul cycle times. As Chile's surface ore bodies deplete and mining moves deeper underground, autonomy transitions from efficiency gain to operational necessity. Chile's mining automation experience is being exported to copper, gold, and iron ore operations worldwide.

TRL
8/9Deployed
Impact
3/5
Investment
4/5
Category
Hardware

Book a research session

Bring this signal into a focused decision sprint with analyst-led framing and synthesis.
Research Sessions