DocumentCode :
1112774
Title :
Naval Mine Countermeasure Missions
Author :
Sariel, Sanem ; Balch, Tucker ; Erdogan, Nadia
Author_Institution :
Istanbul Tech. Univ., Istanbul
Volume :
15
Issue :
1
fYear :
2008
fDate :
3/1/2008 12:00:00 AM
Firstpage :
45
Lastpage :
52
Abstract :
Undersea operations using autonomous underwater vehicles (AUVs) provide a different and in some ways a more challenging problem than tasks for unmanned aerial vehicles and unmanned ground vehicles. In particular, in undersea operations, communication windows are restricted, and bandwidth is limited. Consequently, coordination among agents is correspondingly more difficult. In traditional approaches, a central planner initially assigns subtasks to a set of AUVs to achieve the team goal. However, those initial task assignments may become inefficient during real-time execution because of the real-world issues such as failures. Therefore, initial task allocations are usually subject to change if efficiency is a high concern. Reallocations are needed and should be performed in a distributed manner. To provide such flexibility, we propose a distributed auction-based cooperation framework, distributed and efficient multirobot-cooperation framework (DEMiR-CF), which is an online dynamic task allocation (reallocation) system that aims to achieve a team goal while using resources effectively. DEMiR-CF, with integrated task scheduling and execution capabilities, can also respond to and recover from real-time contingencies such as communication failures, delays, range limitations, and robot failures.
Keywords :
mobile robots; multi-robot systems; naval engineering; remotely operated vehicles; scheduling; underwater vehicles; AUV; DEMiR-CF framework; autonomous underwater vehicles; communication windows; distributed incremental multirobot task selection scheme; multirobot-cooperation framework; naval mine countermeasure missions; online dynamic task allocation system; task execution; task scheduling; undersea operations; Analytical models; Delay; Land vehicles; Performance analysis; Remotely operated vehicles; Sea floor; Sonar detection; Underwater communication; Underwater vehicles; Unmanned aerial vehicles;
fLanguage :
English
Journal_Title :
Robotics & Automation Magazine, IEEE
Publisher :
ieee
ISSN :
1070-9932
Type :
jour
DOI :
10.1109/M-RA.2007.914920
Filename :
4476328
Link To Document :
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