Marine Data-Ferrying Using Swarms of Autonomous Underwater Robots to Network Sensor Modules with a Surface Ship

dc.contributorBecker, Aaron T.
dc.contributor.authorDodge, Austin
dc.date.accessioned2018-02-27T15:51:46Z
dc.date.available2018-02-27T15:51:46Z
dc.date.issued2017-10-12
dc.description.abstractThe emerging field of Ocean Big Data (OBD) aims to create efficient methods of collecting marine data used for military, environmental research, oil & gas, and fishing industries. Traditionally, sensors must be deployed, retrieved and then have their data collected. With the use of autonomous underwater vehicles (AUVs), sensor packets can be placed, recharged and have data collected without being retrieved each time. Our team has modified an OpenROV (an open source AUV) to deploy, retrieve, recharge and collect seismic data from sensor packets. While AUVs are often used for surveying tasks, tasks that require an underwater robot to interact with its environment directly are still manually operated. Our research aims to combine contributions to underwater communications, path planning and swarm robotics to advance the capabilities of underwater robots to perform complex tasks in a challenging environment.
dc.description.departmentElectrical and Computer Engineering, Department of
dc.description.departmentHonors College
dc.identifier.urihttp://hdl.handle.net/10657/2461
dc.language.isoen_US
dc.rightsThe author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.titleMarine Data-Ferrying Using Swarms of Autonomous Underwater Robots to Network Sensor Modules with a Surface Ship
dc.typePoster
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