Jordan Mitchell Places 3rd at SME Poster Competition

Congrats to MSL’s Jordan Mitchell for placing 3rd in this year’s poster competition at the 2017 SME Annual Conference & Expo and CMA’s 119th National Western Mining Conference & Exhibition last week in Denver, CO!  Jordan also recently placed 1st at the 2017 CIM Conference & Exhibition‘s student poster competition in Montreal, QC.


Fully Loaded and Super Speedy Underground Vehicles

This year (August 2016 to July 2017) several MSL researchers including Joshua Marshall, Heshan Fernando, Jordan Mitchell, and Lukas Dekker are working full-time from Örebro, Sweden!  This work is part of a unique collaboration between Queen’s MSL, Örebro University‘s Centre for Applied Autonomous Sensor Systems, and Atlas Copco Rock Drill AB (Örebro, Sweden), and is jointly funded by NSERC in Canada and the Swedish Knowledge Foundation.

We are now half-way there and so far we have had some really great success.  Our achievements are in no small part due to generous and unprecedented access to Atlas Copco’s Kvarntorp underground test mine and use of their fully-equipped and automation-ready ST14 and ST18 LHD machines!  We have also made some wonderful new friends and are looking forward to many years of continued work together.

MapKey Auto-Rotating Cavity Scanner

Jordan Mitchell is leading the development of our MapKey auto-rotating cavity scanner concept, prototyping, and initial field testing, which is happening on the Örebro University campus in collaboration with AASS.

J. M. Mitchell and J. A. Marshall.  Design of a novel auto-rotating UAV platform for underground mine cavity surveying. To appear in Proceedings of the 2017 SME Annual Conference & Expo and CMA’s 119th National Western Mining Conference & Exhibition, Denver, CO, February 2017.

Auto-Tunable Robotic Loading

Heshan Fernando is leading the development of automatic tuning algorithms for autonomous loading of fragmented rock (see this CIM Magazine article about our ongoing work on this with Atlas Copco), which is happening in collaboration with Atlas Copco Rock Drills AB and in conjunction with field work at the Kvarntorp underground facility.  Heshan is also working Atlas Copco engineers and software developers to create a “load-assist” version of our technology to help operators that use radio-remote controlled LHDs.

ILC+FBL for Fast Autonomous Driving

Lukas Dekker is leading research on a new approach to Iterative learning-based path following for high-accuracy and high-speed autonomous driving of underground mining vehicles.  This work is being carried out using Atlas Copco ST14 and ST18 underground loaders and also at the Kvarntorp underground facility.