Teleoperated Mining Truck Hauling

Remote operation support for heavy-haul mining trucks to reduce operator exposure in hazardous conditions while maintaining hauling throughput and improving cycle speed and productivity.

The Problem

“Teleoperated mining truck hauling for safer remote heavy-haul operations”

Organizations face these key challenges:

1

High operator exposure to dust, vibration, blast areas, unstable ground, and poor visibility

2

Latency and packet loss can degrade remote control quality and operator confidence

3

Raw multi-camera feeds create cognitive overload for teleoperators

4

Mine roads change frequently due to weather, grading, and active excavation

Impact When Solved

Reduce operator exposure to hazardous pit conditions by shifting control to remote operations centersMaintain or improve hauling throughput with better situational awareness and assisted teleoperationLower collision and near-miss risk through real-time hazard detection and alertingImprove cycle speed via queue prediction, route awareness, and dispatch coordination

The Shift

Before AI~85% Manual

Human Does

  • •Drive the haul truck through loading, haul, queue, dump, and return cycles from the cab
  • •Monitor road conditions, nearby equipment, and hazards using direct visibility, radio calls, and onboard gauges
  • •Coordinate with dispatch, spotters, and shovel or dump point crews to adjust routes and timing
  • •Respond manually to poor visibility, unstable ground, congestion, and changing mine conditions

Automation

    With AI~75% Automated

    Human Does

    • •Supervise remote hauling and make final driving decisions during active teleoperation
    • •Approve or override maneuver guidance, speed recommendations, and workflow handoffs
    • •Take control during low-confidence perception, communications degradation, or unusual site conditions

    AI Handles

    • •Combine live video, telemetry, and location data into a prioritized remote situational awareness view
    • •Detect and alert on vehicles, pedestrians, berm edges, stopped equipment, large rocks, and other road hazards
    • •Estimate drivable corridor, queue status, proximity risks, and loading or dumping alignment to guide maneuvers
    • •Monitor latency, packet loss, truck state, and safety conditions to trigger warnings and control handoffs

    Operating Intelligence

    How it works

    AI runs the first three steps autonomously.

    Humans own every decision.

    The system gets smarter each cycle.

    Confidence90%
    ArchetypeRecommend & Decide
    Shape6-step converge
    Human gates1
    Autonomy
    67%AI controls 4 of 6 steps

    Who is in control at each step

    Each column marks the operating owner for that step. AI-led actions sit above the divider, human decisions and feedback loops sit below it.

    Loop shapeconverge

    Step 1

    Assemble Context

    Step 2

    Analyze

    Step 3

    Recommend

    Step 4

    Human Decision

    Step 5

    Execute

    Step 6

    Feedback

    AI lead

    Autonomous execution

    1AI
    2AI
    3AI
    5AI
    gate

    Human lead

    Approval, override, feedback

    4Human
    6↺ Loop
    AI-led step
    Human-controlled step
    Feedback loop
    TL;DR

    AI handles assembly, analysis, and execution. The human gate sits at the decision point. Every cycle refines future recommendations.

    The Loop

    6 steps

    1 operating angles mapped

    Operational Depth

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