2024 Book Chapter Novel approaches for point cloud analysis with evidential methods: a multifaceted approach to object pose estimation, point cloud odometry, and sensor registrationBhandari, 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 |
2017 Book Chapter From MRAC to learning-based MPC: the emerging importance of machine learning for control of robot manipulatorsSoltani Naveh, K. and McAree, P. R. (2017). From MRAC to learning-based MPC: the emerging importance of machine learning for control of robot manipulators. Adaptive control for robotic manipulators. (pp. 1-28) edited by Dan Zhang and Bin Wei. Boca Raton, FL, United States: CRC Press. doi: 10.1201/9781315166056 |
2013 Book Chapter Developments in open cut miningDight, P. M., Douglas, B., Henley, K., Lumley, G., McAree, P. R., Miller, D., Saydam, S., Topal, E., Wesseloo, J. and Williams, D. J. (2013). Developments in open cut mining. Australasian mining and metallurgical operating practices. (pp. 47-80) edited by W. J. Rankin. Carlton, VIC, Australia: Australasian Institute of Mining and Metallurgy. |
1996 Book Chapter Force Feedback and its applications to decommissioningDaniel, R. W., Fischer, P. J. and McAree, P. R. (1996). Force Feedback and its applications to decommissioning. Advanced robotics and intelligent machines. (pp. 71-88) edited by J. O. Gray and D. G. Caldwell. Bath, United Kingdom: Institution of Electrical Engineers. |
1990 Book Chapter Using Sturm sequences to bracket real roots of polynomial equationsHook, D. G, and McAree, P. R (1990). Using Sturm sequences to bracket real roots of polynomial equations. Graphics gems. (pp. 416-422) edited by Andrew S. Glassner. Boston, United States: Academic Press. doi: 10.1016/B978-0-08-050753-8.50089-9 |