Skip to menu Skip to content Skip to footer
  • UQ Home
  • Contacts
  • Study
  • Maps
  • News
  • Events
  • Library
  • Give now
  • my.UQ
The University of Queensland
School of Mechanical & Mining Engineering School of Mechanical & Mining Engineering
Site search
Site search
Menu
  • Home
  • About
    • Mining engineering education is changing
    • Teaching
    • UQ Innovate
    • Our people
    • News
    • Events
      • International Colloquium on Shock Waves (ICSW)
  • Study
  • Research
    • Advanced Materials Processing and Manufacturing (AMPAM)
      • Digital fabrication and design
      • Materials and manufacturing for a more sustainable world
      • Materials and processes for extreme environments
      • Research capabilities
      • Nihon Superior Centre for the Manufacture of Electronic Materials
      • Composites Group
      • The University of Queensland – Kyushu University Oceania Project
    • Energy Futures
    • Future Autonomous Systems and Technologies
      • Research capabilities
      • Research themes
    • Hypersonics
      • Research capabilities
      • Our graduates
      • T4 - Free-piston driven shock tunnel
      • Drummond Tube/Tunnel
      • X2 Super-Orbital Expansion Tube
      • X3 Expansion Tube
  • Current students
    • How to enrol in your thesis or final year project
    • Study plans
    • Postgraduate research
  • Engage
    • Partner with us
  • Giving
  • Contact

Dr Tyson Phillips

Lecturer Mechatronics/Robotic/Autom
School of Mechanical and Mining Engineering
+61 7 336 53587
t.phillips1@uq.edu.au
View researcher profile

Publications

Journal Articles (5)
Conference Papers (2)
Thesis (1)

Journal Articles

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
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
Phillips, Tyson Govan, Guenther, Nicky and Mcaree, Peter Ross (2017). When the dust settles: the four behaviors of LiDAR in the presence of fine airborne particulates. Journal of Field Robotics, 34 (5), 985-1009. doi: 10.1002/rob.21701
Phillips, T. G., Green, M. E. and McAree, P. R. (2016). Is it what I think it is? Is it where I think it is? Using point-clouds for diagnostic testing of a digging assembly's form and pose for an autonomous mining shovel. Journal of Field Robotics, 33 (7), 1013-1033. doi: 10.1002/rob.21643
Phillips, T. G., Green, M. E. and McAree, P. R. (2015). An Adaptive Structure Filter for Sensor Registration from Unstructured Terrain. Journal of Field Robotics, 32 (5), 748-774. doi: 10.1002/rob.21562

Conference Papers

Phillips, Tyson, Hahn, Martin and McAree, Ross (2013). An evaluation of ranging sensor performance for mining automation applications. IEEE/ASME International Conference on Advanced Intelligent Mechatronics: Mechatronics for Human Wellbeing, Wollongong, NSW, Australia, 9-12 July 2013. Piscataway, NJ, United States: IEEE. doi: 10.1109/AIM.2013.6584271
Phillips, Tyson, Hahn, Martin and McAree, Ross (2012). An evaluation of ranging sensor performance for mining automation applications. 2012 Australian Mining Technology Conference, Perth, WA, Australia, 8-10 October 2012. Brisbane, Qld., Australia: Colourwise Digital.

Thesis

Phillips, Tyson (2016). Determining and verifying object pose from LiDAR measurements to support the perception needs of an autonomous excavator. PhD Thesis, School of Mechanical and Mining Engineering, The University of Queensland. doi: 10.14264/uql.2016.787

Areas of research

Future Autonomous Systems and Technologies
© The University of Queensland
Enquiries: +61 7 3365 1111   |   Contact directory
ABN: 63 942 912 684   |   CRICOS Provider No: 00025B
Emergency
Phone: 3365 3333
Privacy & Terms of use   |   Feedback   |   Updated: 26 May 2022
Login