An autonomous robot performs hazardous blasting-related work on an open-pit mine bench.
By Sonny Rollins
Autonomous mining technology is moving from driverless truck demonstrations to coordinated, mine-wide operating systems. CiDi, one of China’s leading autonomous mining technology providers, says it has shipped more than 1,900 autonomous mining trucks, with deployments across nearly 40 mines worldwide.
The company also reports that seven mines now operate fleets of more than 100 autonomous trucks, while the largest single-site deployment exceeds 220 vehicles. In the first half of 2026, CiDi’s autonomous-driving revenue rose 107% year on year to RMB 784 million, according to company disclosures reported by Reuters and other financial media.
The figures point to a change in the commercial test for mining autonomy. The central question is no longer whether a truck can navigate a haul road without a driver. It is whether an integrated system can coordinate loading, hauling, dumping, charging, crushing and maintenance with fewer safety exposures and less operational variability.
From driverless trucks to fleet-wide autonomy
Early autonomous haulage projects focused on individual vehicles operating along mapped routes. That model established the core capabilities: machine perception, high-precision positioning, obstacle detection, automated braking and remote intervention.
The next stage is broader. CiDi’s MetaMine platform is designed to connect autonomous trucks with fleet coordination, central dispatch and remote operations. The system is intended to support overburden stripping, coal loading and hauling, waste-dump transportation, energy replenishment and crusher feeding.
That architecture matters because a mine is not a collection of independent truck routes. Truck productivity depends on shovel availability, crusher queues, dump capacity, road conditions, shift changes and energy management. A truck that drives autonomously but waits excessively at a loading point has solved only one part of the production problem.
MetaMine’s fleet-level approach seeks to coordinate those interactions in real time. Autonomous vehicles can be assigned to loading and dumping points, routed around disruptions and monitored from a central operating environment. Remote personnel can intervene when conditions fall outside the system’s operating parameters.
CiDi announced a 500-truck order from Guangna Group, which it described as the largest single formal procurement order in the autonomous mining truck sector. The order is a significant indicator of customer confidence, although the commercial impact will depend on delivery schedules, commissioning and sustained utilization.
The company also says its autonomous mining operations have recorded zero safety accidents to date. That is a company-reported performance claim rather than an independently audited industry benchmark, but it illustrates the safety case being presented to mine operators: removing workers from truck cabins and high-traffic haulage areas can reduce exposure to collisions, fatigue, dust, vibration and extreme weather.
Key autonomous fleet milestones
The following table brings together the main metrics reported by CiDi. It is intended as a reference asset for operators, investors and researchers tracking the scale-up of autonomous mining.
| Deployment metric | Reported figure | Why it matters |
|---|---|---|
| Cumulative autonomous mining truck shipments | More than 1,900 | Indicates commercial scale beyond pilot fleets |
| Mines with MetaMine deployments | Nearly 40 worldwide | Shows multi-site operating experience |
| Mines operating fleets above 100 trucks | Seven | Demonstrates fleet-level deployment capability |
| Largest single-site fleet | More than 220 trucks | Establishes a high-density autonomous operation |
| H1 2026 autonomous-driving revenue | RMB 784 million | Measures the commercial contribution of the business |
| H1 2026 year-on-year revenue growth | 107% | Shows rapid expansion of the autonomous-driving segment |
| Guangna Group order | 500 trucks | Represents a major forward deployment commitment |
| Reported safety record | Zero safety accidents to date | Supports the sector’s worker-exposure reduction case |
Note: Figures are reported by CiDi and should be distinguished from independently audited global fleet totals.
The business case is built on consistency
Autonomy does not necessarily create value by making trucks travel faster. Its strongest productivity case is often based on consistency.
Autonomous trucks can follow defined routes, maintain controlled spacing and reduce unnecessary stops. When connected to dispatch and loading systems, they can help limit queuing at shovels, crushers and dumps. Automated operations can also reduce the disruption caused by shift changes and driver availability.
The effect is particularly relevant at large surface mines with repetitive haul cycles. A standardized fleet operating around the clock can provide more predictable data on cycle times, fuel or energy use, payload performance and maintenance requirements.
However, the results are not universal. Road quality, traffic design, geological changes, payload discipline, communications reliability and mixed traffic all affect performance. Mines with rapidly changing haul routes or frequent manual intervention may face a more complex transition than operations built around stable, repetitive cycles.
The capital burden also shifts. In addition to trucks and autonomous-control systems, operators may need private wireless networks, high-precision mapping, control rooms, backup communications, traffic-management systems and specialist training.
Control-room teams use mine maps, equipment status and production data to coordinate operations.
Robotics moves beyond haulage
The wider opportunity is not limited to autonomous trucks. CiDi says it has shipped 34 robo-excavators and is developing specialized robots for hazardous mining tasks.
An explosives-charging robot is designed to handle work that requires precision while limiting worker exposure near blast holes. CiDi has said the system is expected to enter deployment during the third quarter of 2026. Robotic drilling systems are planned to follow, with commercial availability targeted for early 2027, according to company statements reported by Mining Digital.
The company is also developing underground and tunnelling robots, along with robotic systems for other high-risk industrial environments. These applications are technically different from haulage. They require more precise manipulation, close-range perception and the ability to work in changing or confined spaces.
That distinction is important for mine operators. Haulage autonomy benefits from predictable routes and large operating areas. Blasting, drilling and underground robotics must cope with irregular ground conditions, narrow work zones, changing equipment positions and stricter safety controls.
Even so, the direction is clear: autonomous mining is becoming a portfolio of specialized machines coordinated through a common digital architecture.
International expansion will test the model
CiDi’s current deployment base is concentrated largely in China, but the company is targeting Australia, Brazil, Indonesia, Africa, Central Asia and the Middle East for international expansion.
Australia is an important first test because it has a large-scale mining industry, established automation experience and a strong concentration of remote operations. Brazil and Indonesia offer significant markets in iron ore, nickel, coal and other commodities, while Africa, Central Asia and the Middle East present opportunities as operators seek to manage labor shortages, difficult climates and remote mine infrastructure.
International expansion will also expose the technology to different regulatory systems, mine designs and procurement practices. A platform that operates effectively in a standardized domestic environment may require adaptation for local equipment, communications networks, work rules and safety approvals.
CiDi has signed an agreement with MMD Group to support the development and global deployment of driverless mining haulage systems. Partnerships of this type could help autonomous technology providers combine software and control systems with established equipment, local service networks and mine-planning expertise.
For customers, support capacity may be as important as the autonomous driving system itself. Mines need local access to parts, technicians, cybersecurity support and software maintenance. Downtime from a failed sensor or communications link can affect an entire fleet if the operating architecture is highly centralized.
Autonomous haul trucks combine heavy-duty equipment with positioning, sensing and fleet-control systems.
ESG benefits come with operational conditions
The ESG case for autonomous mining rests primarily on three areas: safety, emissions and resilience.
Removing drivers from hazardous areas can reduce exposure to collisions, fatigue and harsh operating conditions. When autonomy is paired with electric or hybrid equipment, it may also help mines reduce diesel consumption, depending on the source of electricity and the duty cycle.
Fleet coordination can support more efficient routing, fewer idle periods and tighter control of payloads. Those improvements may reduce energy use per tonne, although actual emissions performance depends on haul distances, gradients, charging infrastructure and the mine’s power mix.
Operational resilience is another benefit. A mine that relies less on the availability of trained haul-truck drivers may be better positioned to manage labor shortages, extreme weather or isolated working conditions. Remote operations can also allow technical personnel to supervise multiple machines without entering active production zones.
The transition is not without social risks. Fewer driving positions may be available, and new roles will require training in control-room operations, maintenance, data analysis, network management and safety assurance. Mine operators that treat workforce planning as part of the automation project: not as a later response: will be better placed to manage the change.
Outlook: autonomy becomes a mine-design decision
The milestones reported by CiDi show how quickly autonomous mining is scaling. More than 1,900 shipments, seven fleets above 100 trucks and a largest deployment exceeding 220 vehicles suggest that high-volume autonomy is becoming commercially achievable.
The next test will be repeatability across regions and commodities. Operators will be watching intervention rates, equipment utilization, production hours, maintenance costs, energy consumption and safety performance: not simply the number of trucks delivered.
The most competitive systems are likely to connect autonomous haulage with drilling, blasting, excavation, crushing and energy management. That would make autonomy part of mine design and production control rather than an isolated equipment upgrade.
For decision-makers, the practical framework is straightforward: assess the operating environment, quantify the infrastructure required, plan the workforce transition and measure performance at the level of tonnes moved and risk reduced. The technology’s long-term value will be determined by how reliably it improves the entire mining system.
Related reading: Skillings coverage of mining technology, mining operations and ERG’s autonomous mining deployment in Kazakhstan.