Overview
Background
Professor Ross McAree is Head of the School of Mechanical and Mining Engineering at the University of Queensland. His research interests are focused on machinery dynamics and control with a current emphasis on mining equipment automation.. Professor McAree led the development and demonstration of the world’s first fully autonomous mining excavator as the outcome of a 10year collaboration with Joy Global Surface Mining (now part of Komatsu) and has collaborated with Caterpillar Inc. to develop and trial the world’s first autonomous bulldozer capable of production dozing using the ‘pivot push’ method. From 2007-2015 Professor McAree held an industry funded (P&H) Chair in Mechanical Engineering and from 2009-2015 he was Vice President for Automation and Automation Program Leader with the Cooperative Research Centre for Mining. He has attracted in excess of $12M dollars of Category 1-3 and $8.5M of Category 4 funding has contributed to the winning of two CRC bids (CRCMining and CRCMining2) for a total of $35.2M funding. He established the Mechatronic Engineering Plan at UQ in 2002. He has given leadership to his School as Chair of Research Committee (2009-2015) and Teaching and Learning Committee (2015-2017). Significant external service includes serving as Chair for the Australian Academy of Science National Committee on Mechanical Sciences (2001-2006) and as the Australian representative to the International Federation of Mechanism and Machine Theory (2001-continuing), Associate Editor for journal ‘Mechatronics’ (1999-2011) and member of Australian Standards Committees ME-27 and IT-06P. Professor McAree is a fellow of the Australian Academy of Technology and Engineering (ATSE).
Availability
- Professor Ross McAree is:
- Available for supervision
- Media expert
Fields of research
Research impacts
Professor McAree's research group have been involved in the development of several automation technologies for the mining sector which have been commercialized. The outputs have been estimated to have had benefit to the global mining industry of in excess of $1000m.
Works
Search Professor Ross McAree’s works on UQ eSpace
2024
Book Chapter
Novel approaches for point cloud analysis with evidential methods: a multifaceted approach to object pose estimation, point cloud odometry, and sensor registration
Bhandari, Vedant, Phillips, Tyson and McAree, Ross (2024). Novel approaches for point cloud analysis with evidential methods: a multifaceted approach to object pose estimation, point cloud odometry, and sensor registration. Point cloud generation and its applications. (pp. 1-23) edited by Cumhur Şahin. London, United Kingdom: IntechOpen. doi: 10.5772/intechopen.1004467
2024
Journal Article
Minimal configuration point cloud odometry and mapping
Bhandari, Vedant, Phillips, Tyson Govan and McAree, Peter Ross (2024). Minimal configuration point cloud odometry and mapping. The International Journal of Robotics Research. doi: 10.1177/02783649241235325
2023
Journal Article
Real-time 6-DOF pose estimation of known geometries in point cloud data
Bhandari, Vedant, Phillips, Tyson Govan and McAree, Peter Ross (2023). Real-time 6-DOF pose estimation of known geometries in point cloud data. Sensors, 23 (6) 3085, 1-25. doi: 10.3390/s23063085
2022
Journal Article
Can hyperspectral imaging and neural network classification be used for ore grade discrimination at the point of excavation?
Choros, Krystian A., Job, Andrew T., Edgar, Michael L., Austin, Kevin J. and McAree, Peter Ross (2022). Can hyperspectral imaging and neural network classification be used for ore grade discrimination at the point of excavation?. Sensors, 22 (7) 2687, 2687. doi: 10.3390/s22072687
2022
Other Outputs
Ore Grade Discrimination
Choros, Krystian and McAree, Ross (2022). Ore Grade Discrimination. The University of Queensland. (Dataset) doi: 10.48610/42d4d33
2022
Journal Article
LiDAR-stabilised GNSS-IMU platform pose tracking
D’Adamo, Timothy, Phillips, Tyson and McAree, Peter (2022). LiDAR-stabilised GNSS-IMU platform pose tracking. Sensors, 22 (6) 2248, 2248. doi: 10.3390/s22062248
2022
Journal Article
How do operators and environment conditions influence the productivity of a large mining excavator?
Bettens, S. P., Siegrist, P. M. and McAree, P. R. (2022). How do operators and environment conditions influence the productivity of a large mining excavator?. International Journal of Mining and Mineral Engineering, 13 (1), 18-36. doi: 10.1504/IJMME.2022.124143
2021
Journal Article
Maximum sum of evidence—an evidence-based solution to object pose estimation in point cloud data
Phillips, Tyson, D’Adamo, Tim and McAree, Peter (2021). Maximum sum of evidence—an evidence-based solution to object pose estimation in point cloud data. Sensors, 21 (19) 6473, 6473. doi: 10.3390/s21196473
2020
Journal Article
A relative entropy based feature selection framework for asset data in predictive maintenance
Aremu, Oluseun Omotola, Cody, Roya Allison, Hyland-Wood, David and McAree, Peter Ross (2020). A relative entropy based feature selection framework for asset data in predictive maintenance. Computers and Industrial Engineering, 145 106536, 106536. doi: 10.1016/j.cie.2020.106536
2019
Journal Article
A machine learning approach to circumventing the curse of dimensionality in discontinuous time series machine data
Aremu, Oluseun Omotola, Hyland-Wood, David and McAree, Peter Ross (2019). A machine learning approach to circumventing the curse of dimensionality in discontinuous time series machine data. Reliability Engineering and System Safety, 195 106706, 1-18. doi: 10.1016/j.ress.2019.106706
2019
Journal Article
A Relative Entropy Weibull-SAX framework for health indices construction and health stage division in degradation modeling of multivariate time series asset data
Aremu, Oluseun Omotola, Hyland-Wood, David and McAree, Peter Ross (2019). A Relative Entropy Weibull-SAX framework for health indices construction and health stage division in degradation modeling of multivariate time series asset data. Advanced Engineering Informatics, 40, 121-134. doi: 10.1016/j.aei.2019.03.003
2019
Conference Publication
Machine learning-based embedding for discontinuous time series machine data
Aremu, Oluseun Omotola, Hyland-Wood, David and McAree, Peter Ross (2019). Machine learning-based embedding for discontinuous time series machine data. 17th IEEE International Conference on Industrial Informatics, INDIN'19, Helsinki, Finland, 22-25 July 2019. Piscataway, NJ, United States: IEEE. doi: 10.1109/INDIN41052.2019.8972020
2019
Conference Publication
Kullback-Leibler divergence constructed health indicator for data-driven predictive maintenance of multi-sensor systems
Aremu, Oluseun Omotola, O'Reilly, Darren O., Hyland-Wood, David and McAree, Peter Ross (2019). Kullback-Leibler divergence constructed health indicator for data-driven predictive maintenance of multi-sensor systems. 17th IEEE International Conference on Industrial Informatics, INDIN'19, Helsinki-Espoo, Finland, 23-25 July 2019. Piscataway, NJ United States: IEEE. doi: 10.1109/INDIN41052.2019.8972069
2018
Journal Article
Mining automation: enhancing precision
Ross McAree (2018). Mining automation: enhancing precision. AusIMM Bulletin (Dec 2018), 48-51.
2018
Journal Article
Registration of three-dimensional scanning LiDAR sensors: an evaluation of model-based and model-free methods
D’Adamo, Timothy Andrew, Phillips, Tyson Govan and McAree, Peter Ross (2018). Registration of three-dimensional scanning LiDAR sensors: an evaluation of model-based and model-free methods. Journal of Field Robotics, 35 (7), 1182-1200. doi: 10.1002/rob.21811
2018
Journal Article
An evidence-based approach to object pose estimation from LiDAR measurements in challenging environments
Phillips, T. G. and Mcaree, P. R. (2018). An evidence-based approach to object pose estimation from LiDAR measurements in challenging environments. Journal of Field Robotics, 35 (6), 921-936. doi: 10.1002/rob.21788
2018
Conference Publication
Structuring data for intelligent predictive maintenance in asset management
Aremu, Oluseun Omotola, Salvador Palau, Adrià, Hyland-Wood, David, Parlikad, Ajith Kumar and McAree, Peter Ross (2018). Structuring data for intelligent predictive maintenance in asset management. 16th IFAC Symposium on Information Control Problems in Manufacturing, Bergamo, Italy, 11-13 June 2018. Laxenburg, Austria: International Federation of Automatic Control. doi: 10.1016/j.ifacol.2018.08.370
2018
Journal Article
Mining automation: Enhancing precision
McAree, Ross (2018). Mining automation: Enhancing precision. AusIMM Bulletin (6), 48-51.
2017
Journal Article
Convergence properties of the Kalman inverse filter
Petschel, B. S., Naveh, K. Soltani and McAree, P. R. (2017). Convergence properties of the Kalman inverse filter. ASME Journal of Dynamic Systems, Measurement, and Control, 140 (6) 061001, 061001. doi: 10.1115/1.4038267
2017
Journal Article
Three new Iterative Closest Point variant-methods that improve scan matching for surface mining terrain
Donoso, F. A., Austin, K. J. and McAree, P. R. (2017). Three new Iterative Closest Point variant-methods that improve scan matching for surface mining terrain. Robotics and Autonomous Systems, 95, 117-128. doi: 10.1016/j.robot.2017.05.003
Funding
Current funding
Past funding
Supervision
Availability
- Professor Ross McAree is:
- Available for supervision
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Supervision history
Current supervision
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Doctor Philosophy
Mission Planning for Autonomous Dozers
Principal Advisor
Other advisors: Dr Zane Smith
-
Doctor Philosophy
ADVANCED AUTONOMY FOR UNMANNED VEHICLES
Principal Advisor
Other advisors: Dr Tyson Phillips
-
Doctor Philosophy
Development of a smart spreader system
Associate Advisor
Other advisors: Dr Micah Nehring, Dr Tyson Phillips, Professor Peter Knights
-
Doctor Philosophy
Mapping Unstructured Environments for Real-Time Pose Estimation using Multimodal Perception to Explore and Provide Trusted Autonomy
Associate Advisor
Other advisors: Dr Tyson Phillips, Dr Jasmin Martin
Completed supervision
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2024
Doctor Philosophy
Building and maintaining real-time terrain maps for autonomous bulldozer mining
Principal Advisor
Other advisors: Dr Kevin Austin, Dr Tyson Phillips
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2023
Doctor Philosophy
Mission planning under bounded rationality for autonomous excavation
Principal Advisor
Other advisors: Dr Kevin Austin
-
2021
Doctor Philosophy
Autonomous material characterisation for precision mineral extraction
Principal Advisor
-
-
2021
Doctor Philosophy
Traction Estimation and Adaptive Autonomous Driving for an Articulated Mining Truck
Principal Advisor
-
2020
Doctor Philosophy
Achieving a Representation of Asset Data Conducive to Machine Learning driven Predictive Maintenance
Principal Advisor
Other advisors: Dr David Hyland-Wood, Professor Peter Knights
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2019
Master Philosophy
A treatise on the productivity of semi-automated pivot push bulldozing
Principal Advisor
-
2016
Doctor Philosophy
Determining and verifying object pose from LiDAR measurements to support the perception needs of an autonomous excavator
Principal Advisor
-
2016
Master Philosophy
Scan matching for terrain mapping in open-pit mining
Principal Advisor
Other advisors: Dr Kevin Austin
-
2014
Master Philosophy
Enhancing Awareness to Support Teleoperation of a Bulldozer
Principal Advisor
-
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2013
Doctor Philosophy
Estimating and verifying truck pose for automated excavator loading
Principal Advisor
-
2011
Doctor Philosophy
Failure detection in longwall armored face conveyors
Principal Advisor
Other advisors: Emeritus Professor Hal Gurgenci
-
2010
Doctor Philosophy
Avoidance filtering for human-commanded manipulation systems using constrained control
Principal Advisor
-
2010
Doctor Philosophy
Algorithms for Collision Hulls and their Applications to Path Planning
Principal Advisor
-
2010
Doctor Philosophy
Optimal drill pattern assignment for multi boom jumbos
Principal Advisor
Other advisors: Dr Kevin Austin
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2008
Master Philosophy
Models for predictive control of electric mining shovels
Principal Advisor
Other advisors: Emeritus Professor David Mee
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2006
Doctor Philosophy
GEOMETRIC ALGORITHMS FOR MACHINE DYNAMICS
Principal Advisor
Other advisors: Emeritus Professor Hal Gurgenci
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2006
Master Philosophy
QUANTIFYING ROAD SURFACE QUALITY FOR UNDERGROUND HAUL ROADS
Principal Advisor
Other advisors: Emeritus Professor Hal Gurgenci
-
2004
Doctor Philosophy
A METHODOLOGY FOR MONITORING TYRE-FORCES ON OFF-HIGHWAY MINING TRUCKS
Principal Advisor
Other advisors: Emeritus Professor Hal Gurgenci
-
2003
Master Philosophy
EFFECT OF BLASTING PATTERNS ON EXCAVATOR RELIABILITY AND MAINTENANCE
Principal Advisor
-
2020
Master Philosophy
A perception pipeline exploiting trademark databases for service robots
Associate Advisor
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2012
Master Philosophy
Gas Turbine Control in Integrated Gasification Combined Cycle Plants
Associate Advisor
Other advisors: Emeritus Professor Hal Gurgenci
-
2003
Doctor Philosophy
IMPLEMENTATION OF CMAC AS A NEURAL NETWORK CONTROLLER ON MECHANICAL SYSTEMS
Associate Advisor
Media
Enquiries
Contact Professor Ross McAree directly for media enquiries about:
- Automation and autonomous systems
- Autonomous mining equipment
- Mechanical engineering
- Mechatronic engineering
- Safety related control systems
- Societal consequences of automation
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