Autonomous Machine Solutions for Underground Mining

Boosting Productivity and Safety

What sets us apart as Custom Solution Partner

Your partner from tele-remote operation through to semi and fully autonomous solutions, built on in-house designed hardware. Engineered as a fit-for-purpose platform, it enables seamless retrofit automation while integrating a rugged, all-in-one compute unit. The system is supported by robust hardware specifically designed to perform reliably in harsh operating conditions.

True Full Autonomy

Loading, Hauling, Passing, Dumping, Anything

Underground Positioning System (UPS)

Resisting Dust

Powerful Machine Controller

cyberHUB - the Smart Brain Steering all Functions from One Robust Unit.

Retrofit

Any Mobile Machine. Agnostic

Custom Functionality

Adaptive to Site Needs

Solution Partner

From Design to Delivery

Impact you can measure

Production Tonnage

> 10000 t

Operating TIme

> 100 h

Production Distance

> 100 km

Autonomy That Works Underground

Nerospec SK’s fully autonomy solutions boost productivity and safety in underground mines by making mobile machines work in times when personnel cannot be at the face.

During night shifts or shift changeovers and right after blasting, autonomous loaders run unattended for a series of cycles mucking the first few hundred tons before mining personnel show up at the face again, delivering additional tons of production that are otherwise lost.

Also, during regular shift operation, autonomous transportation vehicles bring materials to where they are needed without tying up personnel, effectively increasing productivity by freeing up personnel for higher value tasks.

Finally, any task that can be done without a person involved makes operations safer, and autonomous machines like robo-taxis and autonomous mining trucks are long proven to operate safer and with less wear and tear than manually operated machines.

At Nerospec SK, we treat the autonomous mobile machine as an enabler to making miners more effective in their daily tasks by taking simple workloads off their to-do list.