Conceptual autonomous haul truck operating in a Western Australian iron ore mine

Australian mining automation & technology

The truck has no driver.
The system still has people.

Understand autonomous haulage, remote operations and the technology changing work from pit to port—without the hype or the assumption that every site works the same way.

Original conceptual editorial visual · The FIFO Hub · AI-assisted · not a specific OEM model or mine site

The useful starting point

Autonomy is an operating system, not a magic attachment.

An autonomous haul truck is only one visible part of a larger system. It depends on an accurate mine map, positioning, onboard sensors, wireless communications, fleet-management software, loading-tool interaction, maintained roads, controlled operating zones and trained people who can supervise and respond.

That distinction matters. A truck may drive without a person in the cab, but people still plan the work, maintain the machine, control access, manage exceptions and verify that the system is safe to operate.

Driverless does not mean people-less. It moves people away from one task and creates a different set of operating, technical and maintenance tasks around the fleet.

Use the right language

Assisted, remote and autonomous are not interchangeable.

The exact capability and approved operating model vary by machine, supplier and site. These are practical descriptions, not formal certification levels.

01

Operator assistance

Collision warnings, proximity detection, fatigue monitoring, machine guidance and automatic braking.

Human role

A person still drives or operates the machine and remains responsible for the operating task.

02

Remote control

A dozer, underground loader, drill or other machine is controlled from a console away from the immediate hazard.

Human role

The operator directly commands the machine, but is removed from noise, dust, vibration or a hazardous work area.

03

Tele-remote operation

Onboard systems automate parts of the cycle while an operator supervises, intervenes or performs precision tasks remotely.

Human role

One person may manage more than one machine, depending on the task, system and approved operating model.

04

Autonomous operation

Haul trucks navigate assigned routes, respond to obstacles and complete defined load-haul-dump movements without a driver in the cab.

Human role

Controllers supervise the fleet and manage exceptions; planners, maintainers and field teams keep the operating environment ready.

Autonomous haulage system

How a driverless haul truck completes the cycle.

This conceptual diagram explains the control layers. It is not an OEM architecture, site procedure or safety-control specification.

  1. 01

    Task & map

    The fleet system assigns a destination and approved path using the mine plan, operating zones and material movement priorities.

  2. 02

    Position & perception

    GNSS, maps, object detection and onboard sensors help the truck understand where it is and what is around it.

  3. 03

    Machine control

    Drive-by-wire interfaces manage steering, braking, propulsion and retarding within the system's operating rules.

  4. 04

    Fleet interaction

    The truck coordinates with loading tools, dump points, intersections, staffed equipment, light vehicles and other autonomous machines.

  5. 05

    Supervision & response

    Controllers monitor the system, manage exceptions and coordinate field response. The fleet is autonomous; it is not unmanaged.

The moving pulse represents information and control passing through the system—not truck speed, stopping distance or response time.
01Assigned to loading toolFleet system selects the next task
02Spots for loadingLoading-tool operator confirms position and release
03Travels approved routeTruck navigates and responds within defined rules
04Dumps materialCrusher, stockpile or waste destination
05Receives next assignmentOr reports for fuel, service or maintenance

Komatsu FrontRunner AHS

The truck drives itself. The fleet is coordinated as a system.

Komatsu describes FrontRunner trucks as autonomous rather than remotely driven. A controller supervises fleet activity and exceptions while the system assigns routes, coordinates loading and monitors machine state inside a controlled operating area.

Komatsu 930E-AT autonomous haul trucks operating in a controlled mining haulage environment at dusk
Komatsu 930E-AT autonomous haul trucks. The trucks operate without a driver in the cab, while controllers, loading-tool operators, maintainers and field teams support the system. Image supplied to The FIFO Hub.
01

Mapped operating area

Accurate haul roads, intersections, load areas, dump locations and boundaries give the system a defined environment in which to operate.

02

Fleet assignment

Central software allocates the next destination and route using production priorities, traffic, equipment state and mine-plan information.

03

Autonomous movement

Onboard positioning, machine control and drive-by-wire interfaces manage steering, speed, braking, propulsion and retarding along the approved route.

04

Loading interaction

The loading-tool operator works through the system to spot the truck, load it and release it for the next stage of the cycle.

05

Object response

Onboard detection systems can slow or stop the truck when an object is detected. Site separation and access controls remain essential.

06

Human supervision

Controllers monitor the fleet and coordinate exceptions. Field technicians, maintainers, planners, survey and OT teams keep the wider system ready.

Important boundary: This is a general explanation based on Komatsu's public system material. It is not a site operating procedure, a statement about a specific mine or a substitute for authorised autonomous-zone training.

What the machine can—and cannot—do

Predictable work suits automation. Exceptions still need judgement.

Strong fit

Repeatable haul cycles

  • Following mapped routes and speed rules
  • Consistent spotting, hauling and dumping sequences
  • Fleet assignment and queue management
  • Continuous machine and event data collection
Human-led

Changing conditions and exceptions

  • Recovering from faults, obstacles and communication loss
  • Managing road condition, weather and unusual ground hazards
  • Planning work around maintenance and production priorities
  • Investigating events and deciding when the system is ready
Shared boundary

People and machines interacting

  • Loading-tool operators positioning autonomous trucks
  • Staffed ancillary equipment entering operating zones
  • Technicians isolating, testing and returning machines to service
  • Controllers coordinating field access and production recovery

Australian deployments

Four large-scale examples from the Pilbara.

Figures are operator or supplier reported and checked 29 August 2026. Fleet numbers and operating scope can change.

Independent editorial note: Inclusion documents Australian automation activity. It does not imply endorsement, partnership or a comparison of operator safety performance.

Beyond driverless trucks

Automation now reaches from drill pattern to shiploading.

The human role changes differently in each system. Some machines are autonomous; others remain directly controlled from a safer or more central location.

TechnologyWhat changesPeople around the system
Autonomous haulage

Driverless rigid-frame trucks complete assigned haul cycles inside controlled operating zones.

Mine control, mobile maintenance, AHS technicians, loading-tool operators

Autonomous drilling

Remote consoles plan and supervise repeatable blast-hole drilling while crews manage drill patterns, consumables, ground conditions and exceptions.

Drill controllers, drill fitters, drill-and-blast teams, survey and planning

Autonomous rail

Train control, onboard cameras, signalling and network systems move ore over long distances under remote supervision.

Network controllers, rail signalling, communications, track and rollingstock maintenance

Automated port systems

Machine positioning, 3D sensing and control logic support precise stockyard and shiploading movements.

Port controllers, E&I technicians, electricians, mechanical teams and planners

Remote dozing & loading

Operators control dozers or underground load-haul-dump machines from a safer location; some travel functions may be automated.

Remote operators, field support, geotechnical teams and maintainers

Collision avoidance

Detection, proximity awareness and automatic intervention reduce mobile-equipment interaction risk. This may assist a driver or sit inside an autonomous system.

All mobile-equipment users, control teams, trainers and system technicians

Robotic inspection

Drones, remotely operated vehicles and purpose-built robots inspect highwalls, confined or difficult-to-access areas and machine components.

Inspectors, drone pilots, engineers, NDT and maintenance specialists

Condition & process intelligence

Sensors, historians, machine learning and digital models help teams identify abnormal behaviour, predict degradation and optimise the system.

Reliability, condition monitoring, data, process control and maintenance teams

Remote operations centres

The control room connects the whole value chain.

Perth-based centres operated by major Pilbara miners bring mine control, processing, rail, port and planning information together. The benefit is not simply distance. It is the ability to see constraints across the system and coordinate decisions.

Explore the control systems guide

Careers around automation

The cab is only one place mining work happens.

Titles vary by operator and supplier. Some roles are site-based, some are Perth-based and others move between control rooms, workshops and operating areas.

01

Mine control / AHS controller

Supervises fleet state, priorities and exceptions; coordinates with field teams, loading tools, dispatch and maintenance.

02

Autonomy field technician

Tests sensors, onboard hardware, networks and machine interfaces; diagnoses faults and confirms the truck can safely return to service.

03

Heavy mobile maintainer

Maintains the mechanical, electrical and hydraulic truck beneath the autonomy layer, with added attention to sensors, harnesses and system integrity.

04

OT & communications technician

Supports radio, wireless, fibre, servers, positioning and operational-technology networks that connect machines and control rooms.

05

Control systems engineer

Works across machine control, software configuration, functional safety, change management, system interfaces and validation.

06

Mine planning & survey

Builds accurate plans, routes, boundaries and spatial data so automated equipment receives a workable operating environment.

07

Reliability & data specialist

Combines events, alarms, condition data, work history and production context to find repeat problems and improve availability.

08

Trainer, safety & assurance

Builds competence, verifies operating discipline, investigates events and helps people work safely around automated equipment.

For current operators and trades

Keep the mining knowledge. Add the systems knowledge.

Keep proving

Hazard awareness, radio discipline, production understanding, quality handovers, mechanical sympathy and calm response to abnormal conditions.

Add evidence of

Fleet-management screens, event logs, telemetry, basic networks, sensor fault-finding, system recovery, data interpretation and change control.

Show in applications

The machines, operating zones, control systems and interfaces you worked with; the decisions you owned; and the faults, improvements or recoveries you helped deliver.

Safety around automated mining equipment

The risk changes. It does not disappear.

Western Australia's autonomous mining guidance emphasises a risk-based system approach, including competent people, integration with staffed operations and confirmation that the system performs as designed.

01

Operating zones

Know the site's access, positive-communication and equipment-interaction rules before entering or working near an autonomous area.

02

System state

Treat mode, alarms, permissions and machine status as safety-critical information. Never assume a stopped machine is isolated or safe to approach.

03

Mixed traffic

Staffed equipment, light vehicles and pedestrians create interaction risks that require separation, detection and disciplined communications.

04

Maintenance

Sensor cleaning or repair, functional testing, software/configuration changes and return-to-service work require approved isolation and verification.

05

Degraded operation

Dust, weather, road changes, positioning or network problems can affect system performance. Escalate abnormal behaviour through the site's process.

06

Human factors

Control-room workload, alarm handling, fatigue, situational awareness and handover quality remain important even when the cab is empty.

Safety boundary: This guide provides general awareness only. It does not replace site induction, traffic-management plans, autonomous operating-zone rules, isolations, permits, OEM instructions, competency assessment or direction from authorised site personnel.

What comes next

Autonomy is converging with electrification and open fleets.

The next challenge is not only making a truck drive itself. It is coordinating energy, charging or dynamic power, mixed equipment brands, production priorities and human access across a changing mine plan.

01

Autonomous + electric

Battery-electric and dynamic-energy-transfer trials are pushing autonomy and decarbonisation into the same operating problem.

02

Open autonomy

Retrofit and OEM-agnostic platforms aim to manage mixed truck models rather than tying a mine to one machine fleet.

03

System optimisation

AI and advanced analytics increasingly coordinate routes, queues, energy, maintenance and material movement—not just individual machines.

Official sources

Go deeper into the systems and deployments.

Source-checked 29 August 2026. Statistics describe the date and scope stated by each source and may change as fleets expand or are reconfigured.