Ryan N. Smith

发表

Robust Tracking Control of Autonomous Underwater Vehicles in the Presence of Disturbance Inputs

Amit K. Sanyal, Monique Chyba, Nikolaj Nordkvist, 2009 .

Demonstration of the quality assurance benefits of a new in vivo source position verification system for high dose-rate prostate brachytherapy

Rick Franich, Jeremy Millar, Michael Taylor, 2014 .

Predicting Wave Glider speed from environmental measurements

Gaurav S. Sukhatme, Jnaneshwar Das, Graham Hine, 2011, OCEANS'11 MTS/IEEE KONA.

Long-Term Autonomy for AUVs Operating Under Uncertainties in Dynamic Marine Environments

Leonardo Bobadilla, Tauhidul Alam, Abdullah Al Redwan Newaz, 2021, IEEE Robotics and Automation Letters.

Towards Energy-Aware Feedback Planning for Long-Range Autonomous Underwater Vehicles

Leonardo Bobadilla, Ali Karimoddini, Tauhidul Alam, 2021, Frontiers in Robotics and AI.

Correlating Water Quality and Profile Data in the Florida Keys

Ryan N. Smith, Leonardo Bobadilla, H. Briceño, 2019, OCEANS 2019 MTS/IEEE SEATTLE.

Survey of unmanned subterranean exploration, navigation, and localisation

Ryan N. Smith, J. Martz, Wesam H. Alsabban, 2020, IET Cyber-Systems and Robotics.

USC CINAPS Builds bridges : observing and monitoring the southern california bight

Gaurav S. Sukhatme, Jnaneshwar Das, Meredith D.A. Howard, 2010 .

Towards the Improvement of Autonomous Glider Navigational Accuracy Through the use of Regional Ocean Models

Gaurav S. Sukhatme, Yi Chao, Jonathan Kelly, 2010 .

Decoupled trajectory planning for a submerged rigid body subject to dissipative and potential forces

Monique Chyba, Ryan N. Smith, Shashi B. Singh, 2008 .

Towards automated and in-situ, near-real time 3-D reconstruction of coral reef environments

Ben Upcroft, David McKinnon, Ryan N. Smith, 2011, OCEANS'11 MTS/IEEE KONA.

Persistent Ocean Monitoring with Underwater Gliders : Adapting Spatiotemporal Sampling Resolution

Ryan N. Smith, 2010 .

Measuring reef complexity and rugosity from monocular video bathymetric reconstruction

Ben Upcroft, David McKinnon, Renata Ferrari, 2012 .

Controlling a submerged rigid body: A geometric analysis

Ryan N. Smith, M. Chyba, G. Wilkens, 2007 .

Zig-zag wanderer: Towards adaptive tracking of time-varying coherent structures in the ocean

M. Ani Hsieh, Ryan N. Smith, Dhanushka Kularatne, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Pseudoseeds : investigating long-distance, ocean seed dispersal with wireless sensors

Ryan N. Smith, Peter Corke, K. Langendoen, 2011, IROS 2011.

Increasing persistent navigation capabilities for underwater vehicles with augmented terrain-based navigation

Ryan N. Smith, Jonathan Kelly, Leonardo Bobadilla, 2017, OCEANS 2017 - Aberdeen.

Bridges and Monitoring the Southern California Bight

Ellen C. Smith, Ryan N. Smith, D. Caron, 2010 .

USC CINAP Builds Bridges Observing and Monitoring the Southern California Bight

Ellen C. Smith, Ryan N. Smith, D. Caron, 2010 .

Future Trends in Marine Robotics [TC Spotlight]

Fumin Zhang, Ryan N. Smith, Hyun-Taek Choi, 2015, IEEE Robotics & Automation Magazine.

Controlling Buoyancy-Driven Profiling Floats for Applications in Ocean Observation

Ryan N. Smith, Van T. Huynh, Ryan N. Smith, 2014, IEEE Journal of Oceanic Engineering.

Convergence-guaranteed time-varying RRT path planning for profiling floats in 4-dimensional flow

Ryan N. Smith, Matthew Dunbabin, Van T. Huynh, 2014, ICRA 2014.

Controlling minimally-actuated vehicles for applications in ocean observation

Ryan N. Smith, Van T. Huynh, Ryan N. Smith, 2012 .

Controlled Drift: An Investigation into the Controllability of Underwater Vehicles with Minimal Actuation

Ryan N. Smith, Matthew Dunbabin, Ryan N. Smith, 2011, ICRA 2011.

Adaptive Path Planning for Tracking Ocean Fronts with an Autonomous Underwater Vehicle

Gaurav S. Sukhatme, Ryan N. Smith, Frederic Py, 2014, ISER.

Quantifying Multiscale Habitat Structural Complexity: A Cost-Effective Framework for Underwater 3D Modelling

Peter I. Corke, Ryan N. Smith, Hu He, 2016, Remote. Sens..

Persistent ocean monitoring with underwater gliders: Adapting sampling resolution

Gaurav S. Sukhatme, Ryan N. Smith, Mac Schwager, 2011, J. Field Robotics.

Heterogeneous Multi-Robot System for Exploration and Strategic Water Sampling

Gregory Dudek, Ryan N. Smith, Alberto Quattrini Li, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Experimental Analysis of Receding Horizon Planning Algorithms for Marine Monitoring

Geoffrey A. Hollinger, Ryan N. Smith, Yawei Zhang, 2015, FSR.

Neural Network Training for the Detection and Classification of Oceanic Mesoscale Eddies

Ryan N. Smith, Daniel Hernández-Sosa, Oliverio J. Santana, 2020, Remote. Sens..

Design and implementation of time efficient trajectories for autonomous underwater vehicles

Ryan N. Smith, Monique Chyba, Thomas Haberkorn, 2008 .

Future Trends in Marine Robotics

Fumin Zhang, Ryan N. Smith, Hyun Taek Choi, 2015 .

Predictive motion planning for AUVs subject to strong time-varying currents and forecasting uncertainties

Ryan N. Smith, Matthew Dunbabin, Van T. Huynh, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Planning and Implementing Trajectories for Autonomous Underwater Vehicles to Track Evolving Ocean Processes Based on Predictions from a Regional Ocean Model

Gaurav S. Sukhatme, Ryan N. Smith, Yi Chao, 2010, Int. J. Robotics Res..

Autonomous Underwater Vehicle trajectory design coupled with predictive ocean models: A case study

Gaurav S. Sukhatme, Ryan N. Smith, Yi Chao, 2010, 2010 IEEE International Conference on Robotics and Automation.

Implementation of an embedded sensor network for the coordination of Slocum gliders for coastal monitoring and observation

Gaurav S. Sukhatme, Ryan N. Smith, Jnaneshwar Das, 2009, WUWNet.

Trajectory Design for Autonomous Underwater Vehicles Based on Ocean Model Predictions for Feature Tracking

Gaurav S. Sukhatme, Ryan N. Smith, Yi Chao, 2009, FSR.

Augmented Terrain-Based Navigation to Enable Persistent Autonomy for Underwater Vehicles

Ryan N. Smith, Leonardo Bobadilla, Jacob Anderson, 2017, 2017 First IEEE International Conference on Robotic Computing (IRC).

Data Correlation and Comparison from Multiple Sensors Over a Coral Reef with a Team of Heterogeneous Aquatic Robots

Gregory Dudek, Ryan N. Smith, Alberto Quattrini Li, 2016, ISER.

Combining Remote and In-situ Sensing for Persistent Monitoring of Water Quality

Ryan N. Smith, B. Osmanoglu, Leonardo Bobadilla, 2022, OCEANS 2022 - Chennai.

Oceanic mesoscale eddy detection and convolutional neural network complexity

Ryan N. Smith, D. Hernández-Sosa, O. J. Santana, 2022, Int. J. Appl. Earth Obs. Geoinformation.

Reducing actuator switchings for motion control of autonomous underwater vehicles

Sergio Grammatico, Ryan N. Smith, Benedetto Piccoli, 2012, 2013 American Control Conference.

Design and implementation of time efficient trajectories for an underwater vehicle

Ryan N. Smith, Monique Chyba, Thomas Haberkorn, 2007 .

A semi-local method for iterative depth-map refinement

Ryan N. Smith, Ben Upcroft, David McKinnon, 2012, 2012 IEEE International Conference on Robotics and Automation.

Computing Feedback Plans from Dynamical System Composition

Ryan N. Smith, Tauhidul Alam, Leonardo Bobadilla, 2019, 2019 IEEE 15th International Conference on Automation Science and Engineering (CASE).

A geometrical approach to the motion planning problem for a submerged rigid body

Ryan N. Smith, Monique Chyba, George R. Wilkens, 2009, Int. J. Control.

A GEOMETRIC ANALYSIS OF TRAJECTORY DESIGN FOR UNDERWATER VEHICLES

Ryan N. Smith, Monique Chyba, Thomas Haberkorn, 2008 .

Synergistic AUV Navigation through Deployed Surface Buoys

Ryan N. Smith, Leonardo Bobadilla, Tauhidul Alam, 2020, 2020 Fourth IEEE International Conference on Robotic Computing (IRC).

A Geometric Approach to Trajectory Design for an Autonomous Underwater Vehicle: Surveying the Bulbous Bow of a Ship

Ryan N. Smith, Monique Chyba, Song K. Choi, 2011 .

Enabling Persistent Autonomy for Underwater Gliders with Ocean Model Predictions and Terrain-Based Navigation

Ryan N. Smith, Jonathan Kelly, Andrew Stuntz, 2016, Front. Robot. AI.

Enabling persistent autonomy for underwater gliders through terrain based navigation

Ryan N. Smith, Andrew Stuntz, David Liebel, 2015, OCEANS 2015 - Genova.

Wind-energy based path planning for Unmanned Aerial Vehicles using Markov Decision Processes

Ryan N. Smith, Luis Felipe Gonzalez, Wesam H. Al-Sabban, 2013, 2013 IEEE International Conference on Robotics and Automation.

Localization in Seemingly Sensory-Denied Environments through Spatio-Temporal Varying Fields

Ryan N. Smith, Leonardo Bobadilla, Jose Fuentes, 2022, 2022 Sixth IEEE International Conference on Robotic Computing (IRC).

Estimating spatio-temporal fields through reinforcement learning

Ryan N. Smith, Leonardo Bobadilla, Paulo Padrão, 2022, Frontiers in Robotics and AI.

Towards Learning Ocean Models for Long-term Navigation in Dynamic Environments

Ryan N. Smith, Leonardo Bobadilla, Paulo Padrão, 2022, Oceans.

Persistent ocean monitoring with underwater gliders: Adapting sampling resolution

Ryan N. Smith, D. Rus, G. Sukhatme, 2011, J. Field Robotics.

Cooperative multi-AUV tracking of phytoplankton blooms based on ocean model predictions

Gaurav S. Sukhatme, Ryan N. Smith, Jnaneshwar Das, 2010, OCEANS'10 IEEE SYDNEY.

USC CINAPS Builds Bridges

Gaurav S. Sukhatme, Ryan N. Smith, Jnaneshwar Das, 2010, IEEE Robotics & Automation Magazine.

A Representative Modeling Approach to Sampling Dynamic Ocean Structures

Ryan N. Smith, Gabe Sibley, M. A. Hsieh, 2015 .

Development of environmental niche models for use in underwater vehicle navigation

Ryan N. Smith, Gregory Murad Reis, Leonardo Bobadilla, 2020, IET Cyber-Systems and Robotics.

Toward Simultaneous Localization and Mapping in Aquatic Dynamic Environments

Ryan N. Smith, Leonardo Bobadilla, Tauhidul Alam, 2019, OCEANS 2019 - Marseille.

Energy-efficient control strategies for updating an augmented terrain-based navigation map for autonomous underwater navigation

Ryan N. Smith, Yuriy Mileyko, Monique Chyba, 2017, 2017 IEEE Conference on Control Technology and Applications (CCTA).

A Data-Driven Deployment and Planning Approach for Underactuated Vehicles in Marine Environments

Ryan N. Smith, Gregory Murad Reis, Tauhidul Alam, 2021, IEEE Journal of Oceanic Engineering.

Feedback-Based Informative AUV Planning from Kriging Errors

Ryan N. Smith, Leonardo Bobadilla, Gregory Murad Reis, 2018, 2018 IEEE/OES Autonomous Underwater Vehicle Workshop (AUV).

Design and validation of a micro-AUV for 3-D sampling of coherent ocean features

Ryan N. Smith, Dhanushka Kularatne, David Heermance, 2015, OCEANS 2015 - MTS/IEEE Washington.

Predicting the speed of a Wave Glider autonomous surface vehicle from wave model data

Ryan N. Smith, Jnaneshwar Das, Will Anderson, 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Persistent robot tasking for environmental monitoring through crowd-sourcing

Ryan N. Smith, Jnaneshwar Das, Wesam Al-Sabban, 2013, 2013 OCEANS - San Diego.

An investigation on the accuracy of Regional Ocean Models through field trials

Gaurav S. Sukhatme, Ryan N. Smith, Jonathan Kelly, 2013, 2013 IEEE International Conference on Robotics and Automation.

Towards improving mission execution for autonomous gliders with an ocean model and kalman filter

Gaurav S. Sukhatme, Ryan N. Smith, Jonathan Kelly, 2012, 2012 IEEE International Conference on Robotics and Automation.

A Data-Driven Deployment Approach for Persistent Monitoring in Aquatic Environments

Ryan N. Smith, Leonardo Bobadilla, Gregory Murad Reis, 2018, 2018 Second IEEE International Conference on Robotic Computing (IRC).

An analysis of regression models for predicting the speed of a wave glider autonomous surface vehicle

Ryan N. Smith, Wesam H. Al-Sabban, Will Anderson, 2013, ICRA 2013.

Processes Based on Predictions from a Regional Ocean Model Planning and Implementing Trajectories for Autonomous Underwater Vehicles to Track Evolving Ocean

Ryan N. Smith, D. Caron, G. Sukhatme, 2010 .

Persistent Ocean Monitoring with Underwater Gliders : Adapting Sampling Resolution

Ryan N. Smith, Stephen L. Smith, B. Jones, 2011 .

Integrating Sensor Buoys into a Marine Robotics Algorithm Validation Testbed

Ryan N. Smith, Jacob Anderson, 2018, 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO).

Design and implementation of sensor networks for the observation and research of harmful algal blooms in southern California coastal waters

Ryan N. Smith, D. Caron, D. Estrin, 2009 .