NDLI: Predicting Wave Glider speed from environmental measurements

Content Provider	IEEE Xplore Digital Library
Author	Smith, R.N. Das, J. Hine, G. Anderson, W. Sukhatme, G.S.
Copyright Year	2011
Description	Author affiliation: School of Engineering Systems, Queensland University of Technology, Brisbane, 4000, Australia (Smith, R.N.) \|\| Liquid Robotics, 1329 Moffett Park Drive Sunnyvale, CA 94089, USA (Hine, G.; Anderson, W.) \|\| Robotic Embedded Systems Laboratory, University of Southern California, Los Angeles, 90089, USA (Das, J.; Sukhatme, G.S.)
Abstract	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.
Starting Page	1
Ending Page	8
File Size	973167
Page Count	8
File Format	PDF
ISBN	9781457714276
e-ISBN	9780933957398
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-19
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	MTS
Subject Keyword	Sea surface Surface waves Vehicles Sea measurements Current measurement Robots
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

ADCP data collected from a Liquid Robotics Wave $Glider^{®}$

Surface wave measurements from an autonomous underwater vehicle

Predicting Wave Glider Speed from Environmental Measurements

Predicting Wave Glider speed from environmental measurements

Wave Measurements from Subsurface Buoys

Directional Wave Measurements from a Subsurface Buoy with an Acoustic Wave and Current Profiler (AWAC)

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

Deep water wave measurements from subsurface buoys

Directional Wave Spectra From Heave/Pitch/Roll Data Buoys

Predicting Wave Glider speed from environmental measurements

Similar Documents

ADCP data collected from a Liquid Robotics Wave $Glider^{®}$

Surface wave measurements from an autonomous underwater vehicle

Predicting Wave Glider Speed from Environmental Measurements

Predicting Wave Glider speed from environmental measurements

Wave Measurements from Subsurface Buoys

Directional Wave Measurements from a Subsurface Buoy with an Acoustic Wave and Current Profiler (AWAC)

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

Deep water wave measurements from subsurface buoys

Directional Wave Spectra From Heave/Pitch/Roll Data Buoys

Predicting Wave Glider speed from environmental measurements