Simultaneous Localization and Mapping (SLAM) Technique for Autonomous Operation of Mining Robots

This project proposes an application of Fuzzy-Evolutionary Simultaneous Localization and Mapping (SLAM) algorithm for autonomous navigation of mining robots in underground mines. This project aims to develop techniques that are useful for mining automation activities, particularly for infrastructureless navigation of load-haul-dump vehicles and drilling equipment. The intern will use current equipment facilities available with the intelligent systems group at C-CORE to collect data and to validate the proposed SLAM algorithm. In addition, the intern will work collaboratively with other research engineers at C-CORE and will explore other possibilities of integrating some of the Artificial Intelligent techniques that are developed under this project to other on-going research activities in the intelligent systems group.

Faculty Supervisor:

Dr. George Mann

Student:

Momotaz Begum

Partner:

C-CORE

Discipline:

Engineering

Sector:

Mining and quarrying

University:

Memorial University of Newfoundland