Predicting Wave Glider speed from environmental measurements

Ryan N. Smith, Jnaneshwar Das, Graham Hine, Will Anderson, Gaurav S. Sukhatme

Research output: Chapter in Book/Report/Conference proceedingConference contribution

28 Scopus citations


In the ocean science community, researchers have begun employing novel sensor platforms as integral pieces in oceanographic data collection, which have significantly advanced the study and prediction of complex and dynamic ocean phenomena. These innovative tools are able to provide scientists with data at unprecedented spatiotemporal resolutions. This paper focuses on the newly developed Wave Glider platform from Liquid Robotics. This vehicle produces forward motion by harvesting abundant natural energy from ocean waves, and provides a persistent ocean presence for detailed ocean observation. This study is targeted at determining a kinematic model for offline planning that provides an accurate estimation of the vehicle speed for a desired heading and set of environmental parameters. Given the significant wave height, ocean surface and subsurface currents, wind speed and direction, we present the formulation of a system identification to provide the vehicle's speed over a range of possible directions.

Original languageEnglish (US)
Title of host publicationOCEANS'11 - MTS/IEEE Kona, Program Book
PublisherIEEE Computer Society
ISBN (Print)9781457714276
StatePublished - 2011
Externally publishedYes
EventMTS/IEEE Kona Conference, OCEANS'11 - Kona, HI, United States
Duration: Sep 19 2011Sep 22 2011

Publication series

NameOCEANS'11 - MTS/IEEE Kona, Program Book


OtherMTS/IEEE Kona Conference, OCEANS'11
Country/TerritoryUnited States
CityKona, HI

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Ocean Engineering


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