Robotics in Mining


The aim of WP5 will be to demonstrate state-of-the-art Robotic technology in mining. More specifically, the aim will be to combine the technological deployments in mining infrastructure from WP3 and WP4 and integrate them into Robotic demonstrations and innovative actions of Robotic applicationsin minesin order to enable an efficient and human safe mining environment. The application scenarios that will be targeted will be the ones of: a) Robotizing the Scaling Machine, b) Robotizing the Charging Machine, c) the semi-autonomous operation for inspection of UAVs, and d) Assisted Driving for diesel free machines. Towards these objectives the concept of Augmented Reality in Robotics will be adapted for the mine operation. The WP will contain a specific planning and preparation stage, as well as an extended
evaluation and demonstration stage, including the corresponding exploitation actions. For the planned activities of WP5, the demonstration mines are the ones at Boliden and LKAB. WP5 will integrate and evolve current robotic technologies, in the prescribed fields, from TRL levels of 4-5, to the final goal of reaching a demonstrating level of 7-8 TRL


1. Application Scenarios and Benchmark Specifications definition.
2. Augmented Reality for Robotics.
3. Robotizing the Scaling Machine.
4. Robotizing the Charging Machine.
5. Semi-Autonomous Flying of UAVs for inspection activities.
6. Assisting Driving for diesel free machines.
7. Field Trials Evaluation and Exploitation.

Our integrated process control system connects the workforce, activities and equipment in real time. 

Mining conditions/environment can be hard and dangerous. By using drones one can access dangerous places without put humans in danger. For example inspections after blasting, rockfalls and with shaft inspections.

By using autonomous drones, one can increase the productivity by shorting inspection time (a drone don’t need fresh air, don’t need additional infrastructure can be equipped with multiple sensors as gas sensors, termo camera

We will solve these problems by using drones with specialized algorithms which allows autonomous navigation in unknown underground environment. 


Mining environment is hard for equipment. The drones has to handle darkness, dust and high moisture independent from connectivity. Do all processing and data storing onboard. 


We are really glad and proud to take part of doing mining environment safer, more efficient and an even more attractive workplace.


George Nikolakopoulos

George Nikolakopoulos

Professor, LTU

I am Full Professor on Robotics and Automation at the Department of Computer Science, Electrical and Space Engineering at Luleå University of Technology, Luleå, Sweden.
Dariusz Kominiak

Dariusz Kominiak

Senior Research engineer, LTU

I am Senior Research Engineer at the Control Engineering Group at the division of Signals and Systems. I graduated from Technical University of Lodz in Poland in the field of Automatic Control and Robotics with major Control of Industrial Processes and Applied Computer Science. My main interest is robotics and mechatronics.