IEEE Robotics & Automation Magazine · 2010 · 64 citations · 13 references
EngineeringOcean EngineeringOceanographyMarine RoboticsRoboticsUnderwater RoboticsAutonomous Underwater Vehicle InstrumentationAutonomous Underwater VehiclesIntegrated Bridge SystemsMarine Monitoring SystemsMarine SensorsOceanographic SensorsAutonomous Underwater Vehicle SystemsDistributed Ocean SensingOcean Observation SystemsOceanographic Data CollectionOceanographic Sensor NetworksSensor Network ArchitecturesUnderwater Robotic SamplingUnderwater Sensor Networks
More than 70% of our earth is covered by water, yet we have explored less than 5% of the aquatic environment. Aquatic robots, such as autonomous underwater vehicles (AUVs), and their supporting infrastructure play a major role in the collection of oceanographic data. To make new discoveries and improve our overall understanding of the ocean, scientists must make use of these platforms by implementing effective monitoring and sampling techniques to study ocean upwelling, tidal mixing, and other ocean processes. Effective observation and continual monitoring of a dynamic system as complex as the ocean cannot be done with one instrument in a fixed location. A more practical approach is to deploy a collection of static and mobile sensors, where the information gleaned from the acquired data is distributed across the network. Additionally, orchestrating a multisensor, long-term deployment with a high volume of distributed data involves a robust, rapid, and cost-effective communication network. Connecting all of these components, which form an aquatic robotic system, in synchronous operation can greatly assist the scientists in improving our overall understanding of the complex ocean environment.
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Slocum Gliders: Robust and ready
Oscar Schofield, Josh Kohut, David Aragon et al. · Journal of Field Robotics · 2007 · 280 citations