Professor Ross McAree
Professor

Ross McAree

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+61 7 334 67823

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

Autonomous vehicle systems Control engineering, mechatronics and robotics Dynamics, vibration and vibration control Engineering

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.

Search Professor Ross McAree’s works on UQ eSpace

120 works between 1990 and 2024
All (120) Journal Article (46) Book Chapter (5) Conference Publication (55) Other Outputs (14)

1 - 20 of 120 works

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

Novel approaches for point cloud analysis with evidential methods: a multifaceted approach to object pose estimation, point cloud odometry, and sensor registration

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, 43 (11), 1831-1850. doi: 10.1177/02783649241235325

Minimal configuration point cloud odometry and mapping

2024

Journal Article

Probabilistic height grid terrain mapping for mining shovels using LiDAR

Bhandari, Vedant, James, Jasmin, Phillips, Tyson and McAree, P. Ross (2024). Probabilistic height grid terrain mapping for mining shovels using LiDAR. IFAC-PapersOnLine, 58 (22), 54-59. doi: 10.1016/j.ifacol.2024.09.290

Probabilistic height grid terrain mapping for mining shovels using LiDAR

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

Real-time 6-DOF pose estimation of known geometries in point cloud data

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

Can hyperspectral imaging and neural network classification be used for ore grade discrimination at the point of excavation?

2022

Other Outputs

Ore Grade Discrimination

Choros, Krystian and McAree, Ross (2022). Ore Grade Discrimination. The University of Queensland. (Dataset) doi: 10.48610/42d4d33

Ore Grade Discrimination

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

LiDAR-stabilised GNSS-IMU platform pose tracking

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

How do operators and environment conditions influence the productivity of a large mining excavator?

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

Maximum sum of evidence—an evidence-based solution to object pose estimation in point cloud data

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

A relative entropy based feature selection framework for asset data in predictive maintenance

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

A machine learning approach to circumventing the curse of dimensionality in discontinuous time series machine data

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

A Relative Entropy Weibull-SAX framework for health indices construction and health stage division in degradation modeling of multivariate time series asset data

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

Machine learning-based embedding for discontinuous time series machine data

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

Kullback-Leibler divergence constructed health indicator for data-driven predictive maintenance of multi-sensor systems

2018

Journal Article

Mining automation: enhancing precision

Ross McAree (2018). Mining automation: enhancing precision. AusIMM Bulletin (Dec 2018), 48-51.

Mining automation: enhancing precision

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

Registration of three-dimensional scanning LiDAR sensors: an evaluation of model-based and model-free methods

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

An evidence-based approach to object pose estimation from LiDAR measurements in challenging environments

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

Structuring data for intelligent predictive maintenance in asset management

2018

Journal Article

Mining automation: Enhancing precision

McAree, Ross (2018). Mining automation: Enhancing precision. AusIMM Bulletin (6), 48-51.

Mining automation: Enhancing precision

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

Convergence properties of the Kalman inverse filter

Current funding

  • 2024 - 2025
    Semi Autonomous Bulldozers for Mine site Rehabilitation
    Australian Coal Association Research Program
    Open grant
  • 2022 - 2027
    Resources Technology and Critical Minerals Trailblazer (Trailblazer University Program administered by Curtin University)
    Curtin University
    Open grant

Past funding

  • 2024
    SATS Rehabilitation Collaboration
    Caterpillar Inc
    Open grant
  • 2023 - 2024
    Command for Dozing Market Opportunity Analysis - Mine Rehabilitation in Queensland 2023 - 2033
    Caterpillar Inc
    Open grant
  • 2023
    Dozer Tactical Planner - Software Alignment
    Caterpillar Inc
    Open grant
  • 2023
    Caterpillar LiDAR testing in dust/fog conditions
    Caterpillar of Australia Pty Ltd
    Open grant
  • 2023 - 2024
    Autonomous Stockpile Dozing: Quantifying Viability
    Australian Coal Association Research Program
    Open grant
  • 2022 - 2024
    Articulated Truck Automated System (ATAS 2022)
    Caterpillar Inc
    Open grant
  • 2021 - 2023
    Dozer Tactical Planning
    Caterpillar Inc
    Open grant
  • 2021
    FMG Rail Mapper Handover
    Fortescue Metals Group Limited
    Open grant
  • 2021 - 2024
    Electric Rope Shovel ("ERS") Operator Assist - Machine Self Protection
    Caterpillar Inc
    Open grant
  • 2020 - 2021
    FMG Port Hedland Train Terrain Project
    Fortescue Metals Group Limited
    Open grant
  • 2020 - 2022
    Articulated Truck Automation System (ATAS) Phase 3
    Caterpillar Inc
    Open grant
  • 2020 - 2022
    Excavation Sequencing Assist
    Caterpillar Inc
    Open grant
  • 2020 - 2022
    SATS Automated Mission Planning (STAMP)
    Caterpillar Inc
    Open grant
  • 2020 - 2021
    FMG Wheel Loader Performance Evaluation
    Fortescue Metals Group Limited
    Open grant
  • 2020
    Baraja Spectrum ScanTM dust and fog study
    Baraja Pty Ltd
    Open grant
  • 2019 - 2020
    The autonomous excavator operator: road map and benefits
    Fortescue Metals Group Limited
    Open grant
  • 2019 - 2021
    Dragline Excavation Sequencing - Toward a benefit
    Australian Coal Association Research Program
    Open grant
  • 2019 - 2021
    Articulated Truck Automation System (ATAS) Phase Two
    Caterpillar Inc
    Open grant
  • 2018 - 2022
    SATS Automated Mission Planner
    Caterpillar Inc
    Open grant
  • 2018 - 2021
    Semi-autonomous Pivot Push: Autonomous Mission Planning
    Australian Coal Association Research Program
    Open grant
  • 2018 - 2019
    Real-time mining face grade determination using hyperspectral imaging techniques.
    Mineral Research Institute Western Australia
    Open grant
  • 2018
    Automated Vehicle Tactical Planner (AVTP)
    Caterpillar of Australia Pty Ltd
    Open grant
  • 2018
    Mine Tec IMU Fusion
    Caterpillar Inc
    Open grant
  • 2018
    Load Haul Dump Vehicle Bucket Pose Estimation
    Caterpillar Inc
    Open grant
  • 2017
    Vision guided robotic refuelling of haul trucks. Phase 4 - Site installation of the pose estimation system
    Mine Energy Solutions
    Open grant
  • 2017 - 2018
    Traversability Graph Generation
    CMTE Development Limited
    Open grant
  • 2017 - 2018
    Underground articulated vehicle navigation system
    CMTE Development Limited
    Open grant
  • 2017
    Construction Planning Application
    Caterpillar Inc
    Open grant
  • 2017 - 2018
    Semi-Autonomous Tractor Productivity and Utilization Improvement Study at Wilpinjong Mine
    Caterpillar Inc
    Open grant
  • 2017
    Vision guided robotic refuelling of haul trucks. Phase Three - Increasing functionality of the pose estimation system
    Mine Energy Solutions
    Open grant
  • 2016
    Vision guided robotic refuelling of haul trucks. Phase 2 - Pose System Implementation
    Mine Energy Solutions
    Open grant
  • 2016 - 2018
    Dragline excavation sequencing - Phase 2
    Australian Coal Association Research Program
    Open grant
  • 2016
    Vision guided robotic refuelling of haul trucks
    Mine Energy Solutions
    Open grant
  • 2015
    Underground node position engine
    Caterpillar of Australia Pty Ltd
    Open grant
  • 2015 - 2016
    Automated bulk dozer push: reducing the cost of overburden removal
    Australian Coal Association Research Program
    Open grant
  • 2014 - 2022
    CRCMining 2014-2022
    CMTE Development Limited
    Open grant
  • 2014 - 2015
    Dragline Optimisation System: Optimal Excavation Sequencing
    Australian Coal Association Research Program
    Open grant
  • 2014
    SLAP Phase 4: Truck loading at a press of a button
    Australian Coal Association Research Program
    Open grant
  • 2011 - 2012
    Anglo American's 2030 Carbon Neutral Mine (CRC ORE project subcontract)
    Cooperative Research Centre for Optimising Resource Extraction Ltd
    Open grant
  • 2009 - 2014
    CRC Mining ongoing funding
    Cooperative Research Centre for Mining
    Open grant

Availability

Professor Ross McAree is:
Available for supervision

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Supervision history

Current supervision

Completed supervision

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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