Your browser doesn't support javascript. This means that the content or functionality of our website will be limited or unavailable. If you need more information about Vinnova, please contact us.


Reference number
Coordinator Luleå tekniska universitet - Luleå tekniska universitet Inst f system- och rymdteknik
Funding from Vinnova SEK 4 930 021
Project duration January 2023 - December 2025
Status Ongoing
Venture Advanced digitalization - Enabling technologies
Call Advanced and innovative digitalization 2022

Purpose and goal

The ReNAM’s solutions are aimed at pushing the limits of existing autonomy level of the mining machines in critical mining operations by adding a layer of robotics-inspired reactive navigation to the mining machines, while also extending the role of simulation-driven developments for efficient autonomy evaluation through high fidelity physics-based simulations.

Expected effects and result

The successful evaluation of ReNAM´s use-cases of ramp driving and mixed-traffic scenarios, will foster deployment of autonomous mine trucks in a wider range of scenarios without a need to isolate mining trucks operation area. At a larger scale, advances in onboard perception and integration of its updates to a central Mining Management System is a step towards driverless trucks and complete mine digitalization as new environment data can directly be incorporated, positions of mining vehicles and detected objects can be streamed back and updated live, etc.

Planned approach and implementation

LTU will lead the consortium and headline the development of the autonomous guidance navigation, and control solutions for navigation and positioning of mining vehicles. Epiroc will provide expertise in machine interfaces, sensor evaluation and tele remote/autonomous operation for mining vehicles, access to test sites, and testing and evaluation expertise to the project. Algoryx will develop a simulator for validation and verification of the machine autonomy.

External links

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 7 February 2023

Reference number 2022-03006

Page statistics