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Mining & Safety

Robotics in Mining: Why Autonomous Inspection Changes the Safety Equation

ROBEX Robotics3 min read

Before any miner descends, someone has to verify that the environment is safe. Gas levels, structural conditions, ventilation. In most operations today, that verification is done by a person walking into the same environment they are trying to assess. It is a problem the industry has lived with for decades. And the numbers reflect it.

42

miner deaths in 2024 among ICMM member companies, up from 36 in 2023

ICMM Safety Performance Report 2024

2.93M

workers die from work-related causes globally every year, mining among the highest-risk sectors

ILO, 2023

330,000

fatal occupational accidents worldwide annually, with gas exposure and falls of ground among top causes

ILO, 2023

After years of progress, mining fatalities are rising again. The International Council on Mining and Metals reported 42 worker deaths in 2024, up from 33 in 2022. Nine involved mobile equipment. Five were falls of ground. Every single one happened in an environment that required a human to assess its safety first.

The Routine Inspection Problem

The most persistent risk in underground mining is not blasts or collapses. It is routine inspection: the daily work of verifying that tunnels and working faces are safe to occupy.

After a blast, miners wait for toxic gases to clear before re-entering. A 2025 study in the Journal of Field Robotics deployed an autonomous system 40 minutes post-blast and recorded realistic gas levels at that point. The first human to enter would have faced the same conditions.

The verification task carries a risk profile that bears little resemblance to the value of the data being collected.

The problem is not that operators are careless. It is that no alternative existed. Until now, the only way to get environmental data from inside a hazardous space was to send someone inside to collect it.

What Changes When a Robot Goes First

When a robot performs the pre-shift gas check, no human is exposed to residual post-blast gas. When it maps tunnel conditions with LiDAR, it does so completely rather than spot-checking areas a person can safely reach. When it detects a thermal anomaly, it reports that finding to operators at the surface before anyone descends.

Research from the AMICOS Project confirmed this model: autonomous UGVs deployed in simulated underground mine rescue operations reduced the information gap that forces teams to make entry decisions with inadequate data. A 2025 review by Wrocław University, Luleå University of Technology, and the Technical University of Denmark concluded that mobile inspection robots can address gas, thermal, and structural hazard categories simultaneously, with coverage and frequency that conventional inspection cannot match.

The economics are straightforward too. Routine inspection is a recurring cost. An autonomous platform that performs the same function more completely and without personnel exposure does not eliminate the inspection requirement. It fulfills it more efficiently.

ROBEX in Underground Operations

MiniBot is built for exactly this operating environment. At 44.5 cm wide and 12.2 kg, it navigates confined underground passages that most platforms cannot reach. Standard sensors include thermal imaging, VOC gas detection, PM2.5 particulate sensing, and 1080p visual documentation.

All sensor data is processed onboard and transmitted live via AXIS to operators at the surface. Every reading is timestamped and geolocated automatically, creating a complete inspection record before any human entry is authorized.

Mining fatalities are rising globally after years of decline. The next reduction will come from removing humans from the most dangerous tasks, not from making those tasks marginally safer to perform. ROBEX MiniBot is built to be the first one in.

See MiniBot perform underground inspection

Request a field demonstration or download the MiniBot spec sheet.

Sources
  • ICMM Safety Performance Report 2024. International Council on Mining and Metals.
  • ILO. (2023). A Call for Safer and Healthier Working Environments. International Labour Organization.
  • NIOSH Mining Program. Occupational mining fatalities and injuries, 2012-2022. US Centers for Disease Control and Prevention.
  • Nordstrom et al. (2025). Safety Inspections and Gas Monitoring in Hazardous Mining Areas Shortly After Blasting Using Autonomous UAVs. Journal of Field Robotics.
  • Konieczna-Fulawka et al. (2025). Autonomous Mobile Inspection Robots in Deep Underground Mining. Sensors, MDPI. Wroclaw University / Lulea University of Technology / Technical University of Denmark.
  • AMICOS Project. (2023). UGV-based support in simulated rescue action in underground mines. European H2020 Research Initiative.