Dr Ryan Smith
This person does not currently hold a position at QUT.
Ryan N. Smith received B.S. degrees in both Mathematics and Engineering Physics from Miami University (Oxford, OH) in 1998, the M.A. degree in Mathematics, and the Ph.D. in Ocean & Resources Engineering from the University of Hawai`i at Manoa in 2002 and 2008, respectively. Ryan is a recent alumni of the Robotics Embedded Systems Laboratory at the University of Southern California, and is now a Lecturer in the School of Electrical Engineering at the Queensland University of Technology. The next goal is to develop a marine robotics program at QUT, which focuses on creating enabling technologies required to determine environmental marine factors that contribute to global climate change, and how can we can utilise these assets to efficiently and effectively measure, monitor and assess these factors.
Current research interests and specialities include nonlinear dynamics, control and coordination of single and multi-robot systems, persistent and adaptive ocean sampling, autonomous underwater vehicles, geometric control on manifolds and ocean modelling.
Autonomous Underwater Vehicles, Engineering, Multi-Robot Systems, Nonlinear dynamics, Oceanography
Electrical and Electronic Engineering, Mechanical Engineering, Maritime Engineering
Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008
- PhD in Ocean and Resources Engineering (University of Hawaii)
Professional memberships and associations
- Member IEEE
- Member of the Society of Naval and Marine Architects and Engineers (SNAME)
- Member of the Marine Technology Society (MTS)
Associate Editor Roles:
- 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems
- 2011 Robotics: Science and Systems Conference
- 2011 International Conference on Robotics and Automation
Journal Review Panels:
- Applied Ocean Research
- Ocean Engineering
- Autonomous Robots
- Oceanic Engineering
- Transactions on Mechatronics
- Transactions on Parallel and Distributed Systems
- Robotics and Automation Magazine
- Marine Technology Society Journal
- Journal of Control Science and Engineering
- Ocean Dynamics
- Intelligent Service Robots
Conference Review Panels:
- Offshore Mechanics and Arctic Engineering
- IEEE International Conference on Robotics and Automation
- IEEE/RSJ International Conference on Intelligent Robots and Systems
- IEEE International Conference on Robotics and Automation
- Robotics: Science and Systems Conference
- ENB 347
- Guest Lecturer for ENB 458
- Guest Lecturer for ENN 580
2011: Semester 1
- Guest Lecturer for ENB 301
I received my PhD in December 2008 from the University of Hawaii (UH). My studies provided me with a unique blend of theoretical and experimental research opportunities through a cross-disciplinary Ph.D. in Mathematics and Ocean Engineering. My theoretical research was aided by leading experts in the fields of Optimal Control and Differential Geometry in the Mathematics Department. Experimental study was conducted in the Autonomous Systems Laboratory at UH, providing the opportunity to conduct research on state-of-the-art platforms under the guidance of international experts in autonomous robotics. This experience facilitated interaction with world leaders in marine science research, and steered my research path into robotic assisted ocean study.
From November 2008 to January 2011, I was a post-doctoral research associate in the Robotic Embedded Systems Laboratory at the University of Southern California (USC). Here, I led a research team in the study of path planning for underwater vehicles driven by outputs from large-scale regional ocean models. While at USC, I provided major contributions to the development, installation and operation of a large-scale, embedded sensor network for the observation, monitoring and assessment of coastal ocean ecosystems in southern California. This research provided the opportunity to work with all facets of the operation of a fleet of heterogeneous aquatic vehicles; including deployment, communications, control implementation, recovery, data collection and data management. This experience required working intimately with experts in Physical Oceanography and Marine Biology from USC, ocean modelling experts from the Jet Propulsion Laboratory, California Institute of Technology, and world-renowned experts in the field of ocean science from the Monterey Bay Aquarium Research Institute.
Over the years, I have conducted research with multiple types of marine robots, from autonomous gliders to large-scale survey platforms, and I am internationally-recognized for my technology-fusion techniques in path planning and control of these vehicles for applications in large-scale ocean monitoring.
In addition to research, I believe in reaching out to students and the community to teach them about the exciting world of robotics. My philosophy is to motivate students to explore the world around them through applications and hands- on experiences in Science, Technology, Engineering and Mathematics (STEM) disciplines. Mentorship has been an ongoing part of my research, participating in every capacity in outreach education for nearly 10 years. At UH, I developed and co-directed two separate educational programs; Robo-Nemo for children under the age of 7, and STOMP@HI - Aquabotica for students aged 7 - 18. At the USC, I developed and directed the STOMP@USC outreach program for students aged 8 - 14. Since 2008, I have interacted with more than 6700 students through the educational robotics programs that I have developed. I am currently in the process of developing a community educational outreach program at QUT.
- Smith R, Chao Y, Jones B, Caron D, Li P, Sukhatme G, (2010) Trajectory design for autonomous underwater vehicles based on ocean model predictions for feature tracking, Field and Service Robotics: Results of the 7th International Conference, pp. 263-273.
- Smith R, Chyba M, Choi S, Marani G, (2009) Guidance and control for underactuated Autonomous Underwater Vehicles, Proceedings of the 8th International Conference on Computer and IT Applications in the Maritime Industries, pp. 399-410.
- Smith R, Pereira A, Chao Y, Li P, Caron D, Jones B, Sukhatme G, (2010) Autonomous Underwater Vehicle trajectory design coupled with predictive ocean models: A case study, Proceedings of the 2010 IEEE International Conference on Robotics and Automation, pp. 4770-4777.
- Smith R, Kelly J, Chao Y, Jones B, Sukhatme G, (2010) Towards the improvement of autonomous glider navigational accuracy through the use of regional ocean models, Proceedings of the ASME 29th International Conference on Ocean, Offshore and Arctic Engineering - Volume 4, pp. 597-606.
- Smith R, Das J, Chao Y, Caron D, Jones B, Sukhatme G, (2010) Cooperative multi-AUV tracking of phytoplankton blooms based on ocean model predictions, Proceedings of the 2010 IEEE OCEANS Conference, pp. 1-10.
- Chyba M, Haberkorn T, Singh S, Smith R, Choi S, (2009) Increasing underwater vehicle autonomy by reducing energy consumption, Ocean Engineering, 36 (1), pp. 62-73.
- Smith R, Chyba M, Wilkens G, Catone C, (2009) A geometrical approach to the motion planning problem for a submerged rigid body, International Journal of Control, 82 (9), pp. 1641-1656.
- Smith R, Das J, Heidarsson H, Pereira A, Arrichiello F, other a, (2010) USC CINAPS Builds Bridges- Observing and Monitoring the Southern California Bight, IEEE Robotics and Automation Magazine, 17 (1), pp. 20-30.
- Smith R, Chao Y, Li P, Caron D, Jones B, Sukhatme G, (2010) Planning and implementing trajectories for autonomous underwater vehicles to track evolving ocean processes based on predictions from a regional ocean model, International Journal of Robotics Research, 29 (12), pp. 1475-1497.
- Chyba M, Haberkorn T, Smith R, (2010) Optimization problems for controlled mechanical systems: Bridging the gap between theory and application. In G Romero Rey & L Martinez Muneta, Modelling, Simulation and Optimization, InTech, pp. 167-186.