Collaborative Underground Autonomous Ground Vehicles (AGVs) for Mining Logistics Tasks

This research project aims to develop and implement an advanced autonomous navigation system for ground vehicles in underground mining environments, coupled with an innovative intention signaling system to enhance human-robot interaction.
The project leverages cutting-edge research in mobile robotics, adapting techniques such as Spatial Augmented Reality (SAR) and advanced human detection technologies to the unique challenges of underground mining. By combining autonomous navigation with clear intention signaling, the project aims to significantly enhance safety and efficiency in mining operations.
This research has the potential to revolutionize underground mining practices, reducing human exposure to hazardous environments while optimizing resource allocation and operational uptime. The outcomes of this project could position Canada’s mining sector for sustained growth and competitiveness in the global market, while also establishing the industrial partner as a leader in mining automation technology.

Faculty Supervisor:

François Ferland

Student:

Partner:

Arlyx Technologies Inc.

Discipline:

Engineering

Sector:

Manufacturing

University:

Université de Sherbrooke

Program:

Accelerate

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