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Dr Zane Smith

Research Fellow
School of Mechanical and Mining Engineering
+61 7 336 53587
z.smith@uq.edu.au
View researcher profile

Publications

Conference Papers (5)
Research Report (1)
Thesis (1)

Conference Papers

Kearney, M. P., Smith, Z. V. and McAree, P. R. (2015). Receding horizon collision avoidance for large excavators. 2015 IFToMM World Congress, Taipei, Taiwan, 25-30 October 2015. Taipei, Taiwan: Department of Mechanical Engineering, National Taiwan University. doi: 10.6567/IFToMM.14TH.WC.OS13.028
Edgar, Michael, Aw, Jonathan, Dudley, John, Marley, Roger, Reid, Anthony, Smith, Zane, Taylor, Adrian and McAree, Ross (2012). Characterization of a UWB transceiver for mining applications. 2012 Australian Mining Technology Conference, Perth, Australia, 8-10 October 2012. Brisbane, Australia: Colourwise Digital.
Michael Kearney, Zane Smith and McAree, Peter R. (2009). A Constrained Control Methodology to Assist Operators of Mining Shovels to Avoid Collisions. Australian mining technology conference, Brisbane Australia, October 27-28 2009. Carlton, Victoria Australia: The Australasian Institute of Mining and Metallurgy (AusIMM).
Smith, Z. V. and McAree, P. R. (2006). Fast Minkowski hull operation. 2006 Australian Mining Technology Conference: Value through cost control, Hunter Valley, NSW, Australia, 26-27 September, 2006. Carlton, Vic. Australia: Australasian Institute of Mining and Metallurgy.
Smith, Z. V. and McAree, P.R. (2005). A distributed data-representation for facilitating equipment interactions. 2005 Australian Mining Technology Conference, Fremantle, Australia, 27-28 September 2005. Carlton, Australia: Australasian Institute of Mining and Metallurgy.

Research Report

Reid, A. W., Smith, Z. V., McAree, P. R., Cloete, S. and Horberry, T. (2013). Shovel Load Assist project: C16031. Brisbane, QLD, Australia: Australian Coal Association Research Program (ACARP).

Thesis

Zane Smith (2008). Algorithms for Collision Hulls and their Applications to Path Planning. PhD Thesis, School of Mechanical and Mining Engineering, The University of Queensland.

Areas of research

Future Autonomous Systems and Technologies
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