Ryan N. Smith
Orcid: 0000-0003-3361-8109
According to our database1,
Ryan N. Smith
authored at least 39 papers
between 2009 and 2022.
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Bibliography
2022
Frontiers Robotics AI, 2022
Int. J. Appl. Earth Obs. Geoinformation, 2022
Localization in Seemingly Sensory-Denied Environments through Spatio-Temporal Varying Fields.
Proceedings of the Sixth IEEE International Conference on Robotic Computing, 2022
2021
Long-Term Autonomy for AUVs Operating Under Uncertainties in Dynamic Marine Environments.
IEEE Robotics Autom. Lett., 2021
Towards Energy-Aware Feedback Planning for Long-Range Autonomous Underwater Vehicles.
Frontiers Robotics AI, 2021
2020
Neural Network Training for the Detection and Classification of Oceanic Mesoscale Eddies.
Remote. Sens., 2020
Proceedings of the Fourth IEEE International Conference on Robotic Computing, 2020
2019
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019
2018
Proceedings of the Second IEEE International Conference on Robotic Computing, 2018
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
2017
Augmented Terrain-Based Navigation to Enable Persistent Autonomy for Underwater Vehicles.
Proceedings of the First IEEE International Conference on Robotic Computing, 2017
Energy-efficient control strategies for updating an augmented terrain-based navigation map for autonomous underwater navigation.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017
2016
Quantifying Multiscale Habitat Structural Complexity: A Cost-Effective Framework for Underwater 3D Modelling.
Remote. Sens., 2016
Enabling Persistent Autonomy for Underwater Gliders with Ocean Model Predictions and Terrain-Based Navigation.
Frontiers Robotics AI, 2016
Data Correlation and Comparison from Multiple Sensors Over a Coral Reef with a Team of Heterogeneous Aquatic Robots.
Proceedings of the International Symposium on Experimental Robotics, 2016
2015
Zig-zag wanderer: Towards adaptive tracking of time-varying coherent structures in the ocean.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015
Predictive motion planning for AUVs subject to strong time-varying currents and forecasting uncertainties.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015
Proceedings of the Field and Service Robotics, 2015
Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015
2014
Adaptive Path Planning for Tracking Ocean Fronts with an Autonomous Underwater Vehicle.
Proceedings of the Experimental Robotics, 2014
Predicting the speed of a Wave Glider autonomous surface vehicle from wave model data.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014
2013
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013
Wind-energy based path planning for Unmanned Aerial Vehicles using Markov Decision Processes.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013
Proceedings of the Computer Aided Systems Theory - EUROCAST 2013, 2013
Proceedings of the American Control Conference, 2013
2012
Towards improving mission execution for autonomous gliders with an ocean model and kalman filter.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012
Proceedings of the IEEE International Conference on Robotics and Automation, 2012
A nonlinear PI and backstepping-based controller for tractor-steerable trailers influenced by slip.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012
2011
J. Field Robotics, 2011
Persistent ocean monitoring with underwater gliders: Towards accurate reconstruction of dynamic ocean processes.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011
2010
Planning and Implementing Trajectories for Autonomous Underwater Vehicles to Track Evolving Ocean Processes Based on Predictions from a Regional Ocean Model.
Int. J. Robotics Res., 2010
Autonomous Underwater Vehicle trajectory design coupled with predictive ocean models: A case study.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010
2009
Int. J. Control, 2009
Implementation of an embedded sensor network for the coordination of Slocum gliders for coastal monitoring and observation.
Proceedings of the Fourth ACM International Workshop on UnderWater Networks, 2009
Trajectory Design for Autonomous Underwater Vehicles Based on Ocean Model Predictions for Feature Tracking.
Proceedings of the Field and Service Robotics, Results of the 7th International Conference, 2009