Browse By Person: Huynh, Van
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Number of items: 8.
Smith, Ryan N. & Huynh, Van T. (2012) Control and application of minimally-actuated underwater vehicles. .
Huynh, Van T., Smith, Ryan N. , Kwok, Ngai Ming, & Katupitiya, Jayantha (2012) A nonlinear PI and backstepping based controller for tractor-steerable trailer influenced by slip. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2012), IEEE, Minneapolis, MN, pp. 245-252.
Chyba, Monique, Marriott, John, Grammatico, Sergio, Huynh, Van T., & Smith, Ryan N. (2012) Reducing Actuator Switchings for Motion Control of Autonomous Underwater Vehicles. In IEEE Conferecne on Decision and Control, December 10-13, 2012, Maui, Hawaii USA.
Chyba, Monique, Grammatico, Sergio, Huynh, Van T., Marriott, John, Piccoli, Benedetto, & Smith, Ryan N. (2013) Reducing actuator switchings for motion control of autonomous underwater vehicles. In Proceedings of the American Control Conference (ACC 2013), IEEE, Renaissance Washington, DC Downtown Hotel, Washington, D.C., pp. 1406-1411.
Sa, Inkyu, He, Hu, Huynh, Van, & Corke, Peter (2013) Monocular vision based autonomous navigation for a cost-effective MAV in GPS-denied environments. In Proceedings of the 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), IEEE, Wollongong, Australia, pp. 1355-1360.
Huynh, Van T., Dunbabin, Matthew, & Smith, Ryan N. (2014) Convergence-guaranteed time-varying RRT path planning for profiling floats in 4-Dimensional flow. In Australasian Conference on Robotics and Automation 2014, Australian Robotics and Automation Association, Melbourne, Australia, pp. 1-9.
Smith, Ryan N. & Huynh, Van T. (2014) Controlling buoyancy-driven profiling floats for applications in ocean observation. IEEE Journal of Oceanic Engineering, 39(3), pp. 571-586.
Huynh, Van T., Dunbabin, Matthew, & Smith, Ryan N. (2015) Predictive motion planning for AUVs subject to strong time-varying currents and forecasting uncertainties. In Proceedings of the 2015 IEEE International Conference on Robotics & Automation (ICRA), IEEE, Seattle, Washington.