An Intelligent, Context-Sensitive AUV Mission Controller for Standalone and AOSN Missions
Although the current state of the art in autonomous underwater vehicle (AUV) control software is sucient for many missions of interest today, it is not adequate for future missions. For many future applications, AUVs will have to be capable of acting truly autonomously, for long periods of time, und...
Main Authors: | , , , |
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Other Authors: | |
Format: | Text |
Language: | English |
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Online Access: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.33.7860 http://cdps.umcs.maine.edu/Orca/DEPSCoR-grant/public.ps |
Summary: | Although the current state of the art in autonomous underwater vehicle (AUV) control software is sucient for many missions of interest today, it is not adequate for future missions. For many future applications, AUVs will have to be capable of acting truly autonomously, for long periods of time, undertaking ill-specied, complex missions for a variety of users, in challenging, unpredictable environments. They will need to participate in and help control multi-AUV systems, such as autonomous oceanographic sampling networks (AOSNs). Such a level of capability requires intelligent AUV mission control software. This proposal is for funding to conduct research on intelligent mission control for AUVs. The research will build on past work by the PI, funded by the National Science Foundation, in the Orca Project. The Orca program is an adaptive, context-sensitive mission controller for AUVs. The current version of the program is used to control simulated AUVs on simple missions, and to contro. |
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