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| Funder | Vinnova |
|---|---|
| Recipient Organization | Luleå University of Technology |
| Country | Sweden |
| Start Date | Jan 09, 2023 |
| End Date | Dec 31, 2025 |
| Duration | 1,087 days |
| Number of Grantees | 1 |
| Roles | Principal Investigator |
| Data Source | Swedish Research Council |
| Grant ID | 2022-03006_Vinnova |
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 results and effects:
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.
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.
Luleå University of Technology
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