A Hybrid AUV design for shallow water reef navigation

Dunbabin, Matthew, Roberts, Jonathan M., Usher, Kane, Winstanley, Graeme, & Corke, Peter (2005) A Hybrid AUV design for shallow water reef navigation. In Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005 ICRA 2005, IEEE, Palau de Congressos de Catalunya, Barcelona, Spain, pp. 2105-2110.

View at publisher


The highly unstructured nature of coral reef environments makes them difficult for current robotic vehicles to efficiently navigate. Typical research and commercial platforms have limited autonomy within these environments and generally require tethers and significant external infrastructure. This paper outlines the development of a new robotic vehicle for underwater monitoring and surveying in highly unstructured environments and presents experimental results illustrating the vehicle’s performance. The hybrid AUV design developed by the CSIRO robotic reef monitoring team realises a compromise between endurance, manoeuvrability and functionality. The vehicle represents a new era in AUV design specifically focused at providing a truly low-cost research capability that will progress environmental monitoring through unaided navigation, cooperative robotics, sensor network distribution and data harvesting.

Impact and interest:

39 citations in Scopus
Search Google Scholar™
18 citations in Web of Science®

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

1,220 since deposited on 22 Sep 2010
35 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 33830
Item Type: Conference Paper
Refereed: No
Keywords: AUV, vision-based navigation, underwater robotics
DOI: 10.1109/ROBOT.2005.1570424
ISBN: 0-7803-8914-X Print
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Current > Institutes > Institute for Future Environments
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2005 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 22 Sep 2010 01:22
Last Modified: 14 Sep 2014 23:44

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page