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Massachusetts Institute of Technology

Underwater & out of sight : towards ubiquity in underwater robotics

Abstract

dc:description.abstract

The Earth's oceans holds a wealth of information currently hidden from us. Eective measurement of its properties could provide a better understanding of our changing climate and insights into the creatures that inhabit its waters. Autonomous underwater vehicles (AUVs) hold the promise of penetrating the ocean environment and uncovering its mysteries; and progress in underwater robotics research over the past three decades has resulted in vehicles that can navigate reliably and operate consistently, providing oceanographers with an additional tool for studying the ocean. Unfortunately, the high cost of these vehicles has stied the democratization of this technology. We believe that this is a consequence of two factors. Firstly, reliable navigation on conventional AUVs has been achieved through the use of a sophisticated sensor system, namely the Doppler velocity log (DVL)-aided inertial navigation system (INS), which drives up vehicle cost, power use and size.

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Joint Program in Applied Ocean Science and Engineering
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Rypkema, Nicholas Rahardiyan.
Advisor dc:contributor.advisor
  • Henrik Schmidt.

Subjects

dc:subject × 3

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/124118
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/124118

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Rypkema, Nicholas Rahardiyan.. Underwater & out of sight : towards ubiquity in underwater robotics. Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/124118