Smith, Ryan N. - Institute for Robotics and Intelligent Systems, University of Southern California

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Smith, Ryan N. - Institute for Robotics and Intelligent Systems, University of Southern California

Implementation of an Embedded Sensor Network for the Coordination of Slocum Gliders for Coastal Monitoring and
Persistent Ocean Monitoring with Underwater Gliders: Towards Accurate Reconstruction of Dynamic Ocean Processes
Proceedings of the ASME 28th International Conference on Ocean, Offshore and Arctic Engineering
Goals: Reduction of IridiumGoals: Reduction of Iridium--usage; ASV Collaboration under Constraints; Online Datausage; ASV Collaboration under Constraints; Online Data--streamingstreaming CoastalCoastal FreewaveFreewave network; Hierarchical Control Scheme
Autonomous Underwater Vehicle Trajectory Design Coupled with Predictive Ocean Models: A Case Study
Planning and Implementing Trajectories for Autonomous Underwater Vehicles to
Persistent Ocean Monitoring with Underwater Gliders: Adapting Spatiotemporal Sampling Resolution
Autonomous Underwater Vehicles: Development and Implementation of Time and Energy Efficient Trajectories1
TOWARDS THE IMPROVEMENT OF AUTONOMOUS GLIDER NAVIGATIONAL ACCURACY THROUGH THE USE OF REGIONAL OCEAN MODELS
Decoupled Trajectory Planning for a Submerged Rigid Body Subject to Dissipative and Potential
Guidance and Control for Underactuated Autonomous Underwater Ryan N. Smith, University of Southern California, Los Angeles/USA, ryannsmi@usc.edu
BRAND X PICTURES IEEE Robotics & Automation Magazine20 1070-9932/10/$26.002010 IEEE MARCH 2010
Cooperative Multi-AUV Tracking of Phytoplankton Blooms based on Ocean Model Predictions
Proposed Solution:Proposed Solution: The Autonomous Networked Aquatic Microbial Observing SystemThe Autonomous Networked Aquatic Microbial Observing System Networked Aquatic Microbial Observing Systems: an overviewNetworked Aquatic Microbial Observing Sys
A Geometric Analysis of Trajectory Design for Underwater Vehicles
Increasing Underwater Vehicle Autonomy by Reducing Energy Consumption
Trajectory Design for Autonomous Underwater Vehicles based on Ocean Model Predictions for
Design and Implementation of Sensor Networks for the Observation and Research of Harmful Algal Blooms in Southern California Coastal Waters
Problem Description: Observe, Track and Monitor a Dynamic OceanProblem Description: Observe, Track and Monitor a Dynamic Ocean FeatureFeature Proposed Solution: Trajectory Design Based on a Regional Ocean MProposed Solution: Trajectory Design Based on a R
Efficient control of an autonomous underwater vehicle while accounting for thruster failure
A First Extension of Geometric Control Theory to Underwater Vehicles
Design and Implementation of Time Efficient Trajectories for an Underwater Vehicle
GEOMETRIC CONTROL THEORY AND ITS APPLICATION TO UNDERWATER VEHICLES
Proceedings of OMAE07 2007 25th international Conference on Offshore Mechanics and Artic Engineering
Implementable Efficient Time and Energy Consumption Trajectories Design For an Autonomous Underwater Vehicle
Proceedings of OMAE06 2006 25th international Conference on Offshore Mechanics and Artic Engineering
Towards Automated and In-Situ, Near-Real Time 3-D Reconstruction of Coral Reef Environments
Controlled Drift: An Investigation into the Controllability of Underwater Vehicles with Minimal Actuation
Pseudoseeds: Investigating Long-Distance, Ocean Seed Dispersal with Wireless Sensors
Predicting Wave Glider Speed from Environmental Measurements
A nonlinear PI and backstepping based controller for tractor-steerable trailer influenced by slip
Towards Improving Mission Execution for Autonomous Gliders with an Ocean Model and Kalman Filter
Towards Improving Mission Execution for Autonomous Gliders with an Ocean Model and Kalman Filter
A Semi-Local Method for Iterative Depth-Map Refinement David McKinnon, Ryan N. Smith and Ben Upcroft