DocumentCode
1645895
Title
A MOOS-based online trajectory Re-planning system for AUVs
Author
Barisic, Matko ; Vukic, Zoran ; Miskovic, Nikola ; Kragelund, Sean P.
Author_Institution
Lab. for Underwater Syst. & Technol., Univ. of Zagreb, Zagreb, Croatia
fYear
2009
Firstpage
1
Lastpage
6
Abstract
This paper describes an open source navigation system architecture for use in autonomous underwater vehicles. It is based on the mission oriented operating system proposed, published and programmed by ( (P. Newman, 2006), (P. Newman, 2008)). It is uniquely applicable for work-in-progress type and development-stage software and capability installation onto an AUV system. This applicability is achieved by its completely modular nature, which is obtained by the operating system kernel running separate processes for each advanced navigation or control feature. Robustness is also achieved in this respect since failures and errors will cause only the individual modules that incurs them to fail. Such critical errors, bugs and failures will thereby be contained and their propagation halted from completely freezing even the low-level control loops and decision-making processes needed to successfully retrieve the malfunctioning AUV.
Keywords
control engineering computing; decision making; mobile robots; operating system kernels; position control; public domain software; underwater vehicles; autonomous underwater vehicle; capability installation; decision-making processes; development-stage software; low-level control loops; mission oriented operating system; online trajectory replanning system; open source navigation system architecture; operating system kernel; work-in-progress type; Computer architecture; Computer bugs; Control systems; Error correction; Kernel; Navigation; Open source software; Operating systems; Robustness; Underwater vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
OCEANS 2009 - EUROPE
Conference_Location
Bremen
Print_ISBN
978-1-4244-2522-8
Electronic_ISBN
978-1-4244-2523-5
Type
conf
DOI
10.1109/OCEANSE.2009.5278131
Filename
5278131
Link To Document